Year |
Citation |
Score |
2024 |
Sokolova K, Chen KM, Hao Y, Zhou J, Troyanskaya OG. Deep Learning Sequence Models for Transcriptional Regulation. Annual Review of Genomics and Human Genetics. PMID 38594933 DOI: 10.1146/annurev-genom-021623-024727 |
0.691 |
|
2024 |
Rodriguez-Rodriguez P, Arroyo-Garcia LE, Tsagkogianni C, Li L, Wang W, Végvári Á, Salas-Allende I, Plautz Z, Cedazo-Minguez A, Sinha SC, Troyanskaya O, Flajolet M, Yao V, Roussarie JP. A cell autonomous regulator of neuronal excitability modulates tau in Alzheimer's disease vulnerable neurons. Brain : a Journal of Neurology. PMID 38462574 DOI: 10.1093/brain/awae051 |
0.755 |
|
2023 |
Zhang Z, Sauerwald N, Cappuccio A, Ramos I, Nair VD, Nudelman G, Zaslavsky E, Ge Y, Gaitas A, Ren H, Brockman J, Geis J, Ramalingam N, King D, McClain MT, ... ... Troyanskaya OG, et al. Blood RNA alternative splicing events as diagnostic biomarkers for infectious disease. Cell Reports Methods. 3: 100395. PMID 36936082 DOI: 10.1016/j.crmeth.2023.100395 |
0.779 |
|
2023 |
Mao W, Miller CM, Nair VD, Ge Y, Amper MAS, Cappuccio A, George MC, Goforth CW, Guevara K, Marjanovic N, Nudelman G, Pincas H, Ramos I, Sealfon RSG, Soares-Schanoski A, ... ... Troyanskaya OG, et al. A methylation clock model of mild SARS-CoV-2 infection provides insight into immune dysregulation. Molecular Systems Biology. e11361. PMID 36919946 DOI: 10.15252/msb.202211361 |
0.584 |
|
2023 |
Brewer RC, Lanz TV, Hale CR, Sepich-Poore GD, Martino C, Swafford AD, Carroll TS, Kongpachith S, Blum LK, Elliott SE, Blachere NE, Parveen S, Fak J, Yao V, Troyanskaya O, et al. Oral mucosal breaks trigger anti-citrullinated bacterial and human protein antibody responses in rheumatoid arthritis. Science Translational Medicine. 15: eabq8476. PMID 36812347 DOI: 10.1126/scitranslmed.abq8476 |
0.759 |
|
2022 |
Cappuccio A, Chawla DG, Chen X, Rubenstein AB, Cheng WS, Mao W, Burke TW, Tsalik EL, Petzold E, Henao R, McClain MT, Woods CW, Chikina M, Troyanskaya OG, Sealfon SC, et al. Multi-objective optimization identifies a specific and interpretable COVID-19 host response signature. Cell Systems. 13: 989-1001.e8. PMID 36549275 DOI: 10.1016/j.cels.2022.11.008 |
0.617 |
|
2022 |
Sauerwald N, Zhang Z, Ramos I, Nair VD, Soares-Schanoski A, Ge Y, Mao W, Alshammary H, Gonzalez-Reiche AS, van de Guchte A, Goforth CW, Lizewski RA, Lizewski SE, Amper MAS, Vasoya M, ... ... Troyanskaya OG, et al. Pre-infection antiviral innate immunity contributes to sex differences in SARS-CoV-2 infection. Cell Systems. PMID 36323307 DOI: 10.1016/j.cels.2022.10.005 |
0.757 |
|
2022 |
Chen KM, Wong AK, Troyanskaya OG, Zhou J. A sequence-based global map of regulatory activity for deciphering human genetics. Nature Genetics. PMID 35817977 DOI: 10.1038/s41588-022-01102-2 |
0.367 |
|
2022 |
Jaiswal A, Verma A, Dannenfelser R, Melssen M, Tirosh I, Izar B, Kim TG, Nirschl CJ, Devi KSP, Olson WC, Slingluff CL, Engelhard VH, Garraway L, Regev A, Minkis K, ... ... Troyanskaya O, et al. An activation to memory differentiation trajectory of tumor-infiltrating lymphocytes informs metastatic melanoma outcomes. Cancer Cell. 40: 524-544.e5. PMID 35537413 DOI: 10.1016/j.ccell.2022.04.005 |
0.684 |
|
2022 |
Soares-Schanoski A, Sauerwald N, Goforth CW, Periasamy S, Weir DL, Lizewski S, Lizewski R, Ge Y, Kuzmina NA, Nair VD, Vangeti S, Marjanovic N, Cappuccio A, Cheng WS, Mofsowitz S, ... ... Troyanskaya OG, et al. Asymptomatic SARS-CoV-2 Infection Is Associated With Higher Levels of Serum IL-17C, Matrix Metalloproteinase 10 and Fibroblast Growth Factors Than Mild Symptomatic COVID-19. Frontiers in Immunology. 13: 821730. PMID 35479098 DOI: 10.3389/fimmu.2022.821730 |
0.76 |
|
2022 |
Sealfon R, Mariani L, Avila-Casado C, Nair V, Menon R, Funk J, Wong A, Lerner G, Hayashi N, Troyanskaya O, Kretzler M, Beck L. Molecular Characterization of Membranous Nephropathy. Journal of the American Society of Nephrology : Jasn. PMID 35477557 DOI: 10.1681/ASN.2021060784 |
0.306 |
|
2021 |
Lindström NO, Sealfon R, Chen X, Parvez RK, Ransick A, De Sena Brandine G, Guo J, Hill B, Tran T, Kim AD, Zhou J, Tadych A, Watters A, Wong A, Lovero E, ... ... Troyanskaya OG, et al. Spatial transcriptional mapping of the human nephrogenic program. Developmental Cell. 56: 2381-2398.e6. PMID 34428401 DOI: 10.1016/j.devcel.2021.07.017 |
0.346 |
|
2021 |
Wong AK, Sealfon RSG, Theesfeld CL, Troyanskaya OG. Decoding disease: from genomes to networks to phenotypes. Nature Reviews. Genetics. PMID 34341555 DOI: 10.1038/s41576-021-00389-x |
0.314 |
|
2021 |
Choe JH, Watchmaker PB, Simic MS, Gilbert RD, Li AW, Krasnow NA, Downey KM, Yu W, Carrera DA, Celli A, Cho J, Briones JD, Duecker JM, Goretsky YE, Dannenfelser R, ... ... Troyanskaya O, et al. SynNotch-CAR T cells overcome challenges of specificity, heterogeneity, and persistence in treating glioblastoma. Science Translational Medicine. 13. PMID 33910979 DOI: 10.1126/scitranslmed.abe7378 |
0.685 |
|
2021 |
Chen X, Zhou J, Zhang R, Wong AK, Park CY, Theesfeld CL, Troyanskaya OG. Tissue-specific enhancer functional networks for associating distal regulatory regions to disease. Cell Systems. PMID 33689683 DOI: 10.1016/j.cels.2021.02.002 |
0.359 |
|
2021 |
Park CY, Zhou J, Wong AK, Chen KM, Theesfeld CL, Darnell RB, Troyanskaya OG. Genome-wide landscape of RNA-binding protein target site dysregulation reveals a major impact on psychiatric disorder risk. Nature Genetics. PMID 33462483 DOI: 10.1038/s41588-020-00761-3 |
0.313 |
|
2020 |
Graim K, Gorenshteyn D, Robinson DG, Carriero NJ, Cahill JA, Chakrabarti R, Goldschmidt MH, Durham AC, Funk J, Storey J, Kristensen VN, Theesfeld CL, Sorenmo KU, Troyanskaya OG. Modeling molecular development of breast cancer in canine mammary tumors. Genome Research. PMID 33361113 DOI: 10.1101/gr.256388.119 |
0.72 |
|
2020 |
Dannenfelser R, Allen GM, VanderSluis B, Koegel AK, Levinson S, Stark SR, Yao V, Tadych A, Troyanskaya OG, Lim WA. Discriminatory Power of Combinatorial Antigen Recognition in Cancer T Cell Therapies. Cell Systems. PMID 32916097 DOI: 10.1016/J.Cels.2020.08.002 |
0.762 |
|
2020 |
Ledo JH, Zhang R, Mesin L, Mourão-Sá D, Azevedo EP, Troyanskaya OG, Bustos V, Greengard P. Lack of a site-specific phosphorylation of Presenilin 1 disrupts microglial gene networks and progenitors during development. Plos One. 15: e0237773. PMID 32822378 DOI: 10.1371/Journal.Pone.0237773 |
0.313 |
|
2020 |
Orange DE, Yao V, Sawicka K, Fak J, Frank MO, Parveen S, Blachere NE, Hale C, Zhang F, Raychaudhuri S, Troyanskaya OG, Darnell RB. RNA Identification of PRIME Cells Predicting Rheumatoid Arthritis Flares. The New England Journal of Medicine. 383: 218-228. PMID 32668112 DOI: 10.1056/Nejmoa2004114 |
0.764 |
|
2020 |
Roussarie JP, Yao V, Rodriguez-Rodriguez P, Oughtred R, Rust J, Plautz Z, Kasturia S, Albornoz C, Wang W, Schmidt EF, Dannenfelser R, Tadych A, Brichta L, Barnea-Cramer A, Heintz N, ... ... Troyanskaya OG, et al. Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis. Neuron. PMID 32603655 DOI: 10.1016/J.Neuron.2020.06.010 |
0.79 |
|
2020 |
Richter F, Morton SU, Kim SW, Kitaygorodsky A, Wasson LK, Chen KM, Zhou J, Qi H, Patel N, DePalma SR, Parfenov M, Homsy J, Gorham JM, Manheimer KB, Velinder M, ... ... Troyanskaya OG, et al. Genomic analyses implicate noncoding de novo variants in congenital heart disease. Nature Genetics. PMID 32601476 DOI: 10.1038/S41588-020-0652-Z |
0.417 |
|
2020 |
Menon R, Otto EA, Hoover PJ, Eddy S, Mariani LH, Godfrey B, Berthier CC, Eichinger F, Subramanian L, Harder JL, Ju W, Nair V, Larkina M, Naik AS, Luo J, ... ... Troyanskaya OG, et al. Single cell transcriptomics identifies focal segmental glomerulosclerosis remission endothelial biomarker. Jci Insight. PMID 32107344 DOI: 10.1172/Jci.Insight.133267 |
0.314 |
|
2019 |
Anikeeva P, Boyden E, Brangwynne C, Cissé II, Fiehn O, Fromme P, Gingras AC, Greene CS, Heard E, Hell SW, Hillman E, Jensen GJ, Karchin R, Kiessling LL, Kleinstiver BP, ... ... Troyanskaya O, et al. Voices in methods development. Nature Methods. 16: 945-951. PMID 31562479 DOI: 10.1038/S41592-019-0585-6 |
0.692 |
|
2019 |
Zhou J, Schor IE, Yao V, Theesfeld CL, Marco-Ferreres R, Tadych A, Furlong EEM, Troyanskaya OG. Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development. Plos Genetics. 15: e1008382. PMID 31553718 DOI: 10.1371/Journal.Pgen.1008382 |
0.503 |
|
2019 |
Zhu Q, Tekpli X, Troyanskaya OG, Kristensen VN. Subtype-Specific Transcriptional Regulators in Breast Tumors Subjected to Genetic and Epigenetic Alterations. Bioinformatics (Oxford, England). PMID 31529022 DOI: 10.1093/Bioinformatics/Btz709 |
0.473 |
|
2019 |
Sargin D, Chottekalapanda RU, Perit KE, Yao V, Chu D, Sparks DW, Kalik S, Power SK, Troyanskaya OG, Schmidt EF, Greengard P, Lambe EK. Mapping the physiological and molecular markers of stress and SSRI antidepressant treatment in S100a10 corticostriatal neurons. Molecular Psychiatry. PMID 31431686 DOI: 10.1038/S41380-019-0473-6 |
0.615 |
|
2019 |
Zhou J, Park CY, Theesfeld CL, Wong AK, Yuan Y, Scheckel C, Fak JJ, Funk J, Yao K, Tajima Y, Packer A, Darnell RB, Troyanskaya OG. Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk. Nature Genetics. PMID 31133750 DOI: 10.1038/S41588-019-0420-0 |
0.375 |
|
2019 |
Shrine N, Guyatt AL, Erzurumluoglu AM, Jackson VE, Hobbs BD, Melbourne CA, Batini C, Fawcett KA, Song K, Sakornsakolpat P, Li X, Boxall R, Reeve NF, Obeidat M, Zhao JH, ... ... Troyanskaya OG, et al. Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nature Genetics. PMID 31110354 DOI: 10.1038/S41588-019-0438-3 |
0.354 |
|
2019 |
Chen KM, Cofer EM, Zhou J, Troyanskaya OG. Selene: a PyTorch-based deep learning library for sequence data. Nature Methods. 16: 315-318. PMID 30923381 DOI: 10.1038/S41592-019-0360-8 |
0.349 |
|
2019 |
Bradley PH, Gibney PA, Botstein D, Troyanskaya OG, Rabinowitz JD. Minor Isozymes Tailor Yeast Metabolism to Carbon Availability. Msystems. 4. PMID 30834327 DOI: 10.1128/mSystems.00170-18 |
0.801 |
|
2019 |
Shrine N, Guyatt AL, Erzurumluoglu AM, Jackson VE, Hobbs BD, Melbourne CA, Batini C, Fawcett KA, Song K, Sakornsakolpat P, Li X, Boxall R, Reeve NF, Obeidat M, Zhao JH, ... ... Troyanskaya OG, et al. New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nature Genetics. PMID 30804560 DOI: 10.1038/S41588-018-0321-7 |
0.379 |
|
2019 |
Lee YS, Krishnan A, Oughtred R, Rust J, Chang CS, Ryu J, Kristensen VN, Dolinski K, Theesfeld CL, Troyanskaya OG. A Computational Framework for Genome-wide Characterization of the Human Disease Landscape. Cell Systems. PMID 30685436 DOI: 10.1016/J.Cels.2018.12.010 |
0.714 |
|
2019 |
Harder JL, Menon R, Otto EA, Zhou J, Eddy S, Wys NL, O'Connor C, Luo J, Nair V, Cebrian C, Spence JR, Bitzer M, Troyanskaya OG, Hodgin JB, Wiggins RC, et al. Organoid single cell profiling identifies a transcriptional signature of glomerular disease. Jci Insight. 4. PMID 30626756 DOI: 10.1172/Jci.Insight.122697 |
0.422 |
|
2019 |
Troyanskaya O. Abstract SY36-01: Decoding the biochemical, regulatory, and clinical impact of genomic mutations Cancer Research. 79. DOI: 10.1158/1538-7445.Am2019-Sy36-01 |
0.33 |
|
2018 |
Lee YS, Wong AK, Tadych A, Hartmann BM, Park CY, DeJesus VA, Ramos I, Zaslavsky E, Sealfon SC, Troyanskaya OG. Interpretation of an individual functional genomics experiment guided by massive public data. Nature Methods. PMID 30478325 DOI: 10.1038/S41592-018-0218-5 |
0.372 |
|
2018 |
Jabeen S, Zucknick M, Nome M, Dannenfelser R, Fleischer T, Kumar S, Lüders T, von der Lippe Gythfeldt H, Troyanskaya O, Kyte JA, Børresen-Dale AL, Naume B, Tekpli X, Engebraaten O, Kristensen V. Serum cytokine levels in breast cancer patients during neoadjuvant treatment with bevacizumab. Oncoimmunology. 7: e1457598. PMID 30377556 DOI: 10.1080/2162402X.2018.1457598 |
0.684 |
|
2018 |
Yao V, Kaletsky R, Keyes W, Mor DE, Wong AK, Sohrabi S, Murphy CT, Troyanskaya OG. An integrative tissue-network approach to identify and test human disease genes. Nature Biotechnology. PMID 30346941 DOI: 10.1038/Nbt.4246 |
0.413 |
|
2018 |
Menon R, Otto EA, Kokoruda A, Zhou J, Zhang Z, Yoon E, Chen YC, Troyanskaya O, Spence JR, Kretzler M, Cebrián C. Single-cell analysis of progenitor cell dynamics and lineage specification in the human fetal kidney. Development (Cambridge, England). 145. PMID 30166318 DOI: 10.1242/Dev.164038 |
0.437 |
|
2018 |
Kaletsky R, Yao V, Williams A, Runnels AM, Tadych A, Zhou S, Troyanskaya OG, Murphy CT. Transcriptome analysis of adult Caenorhabditis elegans cells reveals tissue-specific gene and isoform expression. Plos Genetics. 14: e1007559. PMID 30096138 DOI: 10.1371/Journal.Pgen.1007559 |
0.36 |
|
2018 |
Zhou J, Theesfeld CL, Yao K, Chen KM, Wong AK, Troyanskaya OG. Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk. Nature Genetics. PMID 30013180 DOI: 10.1038/S41588-018-0160-6 |
0.463 |
|
2018 |
Yao V, Wong AK, Troyanskaya OG. Enabling Precision Medicine through Integrative Network Models. Journal of Molecular Biology. PMID 30003887 DOI: 10.1016/J.Jmb.2018.07.004 |
0.454 |
|
2018 |
Wong AK, Krishnan A, Troyanskaya OG. GIANT 2.0: genome-scale integrated analysis of gene networks in tissues. Nucleic Acids Research. PMID 29800226 DOI: 10.1093/Nar/Gky408 |
0.738 |
|
2018 |
Rangan AV, McGrouther CC, Kelsoe J, Schork N, Stahl E, Zhu Q, Krishnan A, Yao V, Troyanskaya O, Bilaloglu S, Raghavan P, Bergen S, Jureus A, Landen M. A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data. Plos Computational Biology. 14: e1006105. PMID 29758032 DOI: 10.1371/Journal.Pcbi.1006105 |
0.789 |
|
2017 |
Dannenfelser R, Nome M, Tahiri A, Ursini-Siegel J, Vollan HKM, Haakensen VD, Helland Å, Naume B, Caldas C, Børresen-Dale AL, Kristensen VN, Troyanskaya OG. Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexity. Oncotarget. 8: 57121-57133. PMID 28915659 DOI: 10.18632/Oncotarget.19078 |
0.729 |
|
2017 |
Clancy T, Dannenfelser R, Troyanskaya O, Malmberg KJ, Hovig E, Kristensen V. Bioinformatics approaches to profile the tumor microenvironment for immunotherapeutic discovery. Current Pharmaceutical Design. PMID 28699527 DOI: 10.2174/1381612823666170710154936 |
0.725 |
|
2017 |
Nirschl CJ, Suárez-Fariñas M, Izar B, Prakadan S, Dannenfelser R, Tirosh I, Liu Y, Zhu Q, Devi KSP, Carroll SL, Chau D, Rezaee M, Kim TG, Huang R, Fuentes-Duculan J, ... ... Troyanskaya O, et al. IFNγ-Dependent Tissue-Immune Homeostasis Is Co-opted in the Tumor Microenvironment. Cell. 170: 127-141.e15. PMID 28666115 DOI: 10.1016/J.Cell.2017.06.016 |
0.73 |
|
2016 |
Costanzo M, VanderSluis B, Koch EN, Baryshnikova A, Pons C, Tan G, Wang W, Usaj M, Hanchard J, Lee SD, Pelechano V, Styles EB, Billmann M, van Leeuwen J, van Dyk N, ... ... Troyanskaya OG, et al. A global genetic interaction network maps a wiring diagram of cellular function. Science (New York, N.Y.). 353. PMID 27708008 DOI: 10.1126/Science.Aaf1420 |
0.769 |
|
2016 |
Krishnan A, Zhang R, Yao V, Theesfeld CL, Wong AK, Tadych A, Volfovsky N, Packer A, Lash A, Troyanskaya OG. Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder. Nature Neuroscience. PMID 27479844 DOI: 10.1038/Nn.4353 |
0.729 |
|
2016 |
Roberts AM, Wong AK, Fisk I, Troyanskaya OG. GIANT API: an application programming interface for functional genomics. Nucleic Acids Research. PMID 27098035 DOI: 10.1093/Nar/Gkw289 |
0.44 |
|
2016 |
Zhou J, Troyanskaya OG. Probabilistic modelling of chromatin code landscape reveals functional diversity of enhancer-like chromatin states. Nature Communications. 7: 10528. PMID 26841971 DOI: 10.1038/Ncomms10528 |
0.394 |
|
2015 |
Gorenshteyn D, Zaslavsky E, Fribourg M, Park CY, Wong AK, Tadych A, Hartmann BM, Albrecht RA, García-Sastre A, Kleinstein SH, Troyanskaya OG, Sealfon SC. Interactive Big Data Resource to Elucidate Human Immune Pathways and Diseases. Immunity. 43: 605-14. PMID 26362267 DOI: 10.1016/J.Immuni.2015.08.014 |
0.446 |
|
2015 |
Zhou J, Troyanskaya OG. Predicting effects of noncoding variants with deep learning-based sequence model. Nature Methods. 12: 931-4. PMID 26301843 DOI: 10.1038/Nmeth.3547 |
0.421 |
|
2015 |
Dolinski K, Troyanskaya OG. Implications of Big Data for cell biology. Molecular Biology of the Cell. 26: 2575-8. PMID 26174066 DOI: 10.1091/Mbc.E13-12-0756 |
0.333 |
|
2015 |
Wong AK, Krishnan A, Yao V, Tadych A, Troyanskaya OG. IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks. Nucleic Acids Research. 43: W128-33. PMID 25969450 DOI: 10.1093/nar/gkv486 |
0.71 |
|
2015 |
Goya J, Wong AK, Yao V, Krishnan A, Homilius M, Troyanskaya OG. FNTM: a server for predicting functional networks of tissues in mouse. Nucleic Acids Research. 43: W182-7. PMID 25940632 DOI: 10.1093/Nar/Gkv443 |
0.732 |
|
2015 |
Greene CS, Krishnan A, Wong AK, Ricciotti E, Zelaya RA, Himmelstein DS, Zhang R, Hartmann BM, Zaslavsky E, Sealfon SC, Chasman DI, FitzGerald GA, Dolinski K, Grosser T, Troyanskaya OG. Understanding multicellular function and disease with human tissue-specific networks. Nature Genetics. 47: 569-76. PMID 25915600 DOI: 10.1038/Ng.3259 |
0.814 |
|
2015 |
Chikina MD, Gerald CP, Li X, Ge Y, Pincas H, Nair VD, Wong AK, Krishnan A, Troyanskaya OG, Raymond D, Saunders-Pullman R, Bressman SB, Yue Z, Sealfon SC. Low-variance RNAs identify Parkinson's disease molecular signature in blood. Movement Disorders : Official Journal of the Movement Disorder Society. 30: 813-21. PMID 25786808 DOI: 10.1002/Mds.26205 |
0.757 |
|
2015 |
Zhu Q, Wong AK, Krishnan A, Aure MR, Tadych A, Zhang R, Corney DC, Greene CS, Bongo LA, Kristensen VN, Charikar M, Li K, Troyanskaya OG. Targeted exploration and analysis of large cross-platform human transcriptomic compendia. Nature Methods. 12: 211-4, 3 p following. PMID 25581801 DOI: 10.1038/Nmeth.3249 |
0.778 |
|
2015 |
Park CY, Krishnan A, Zhu Q, Wong AK, Lee YS, Troyanskaya OG. Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms. Bioinformatics (Oxford, England). 31: 1093-101. PMID 25431329 DOI: 10.1093/Bioinformatics/Btu786 |
0.755 |
|
2015 |
Quigley D, Silwal-Pandit L, Dannenfelser R, Langerød A, Vollan HK, Vaske C, Siegel JU, Troyanskaya O, Chin SF, Caldas C, Balmain A, Børresen-Dale AL, Kristensen V. Lymphocyte Invasion in IC10/Basal-Like Breast Tumors Is Associated with Wild-Type TP53. Molecular Cancer Research : McR. 13: 493-501. PMID 25351767 DOI: 10.1158/1541-7786.Mcr-14-0387 |
0.698 |
|
2014 |
VanderSluis B, Hess DC, Pesyna C, Krumholz EW, Syed T, Szappanos B, Nislow C, Papp B, Troyanskaya OG, Myers CL, Caudy AA. Broad metabolic sensitivity profiling of a prototrophic yeast deletion collection. Genome Biology. 15: R64. PMID 24721214 DOI: 10.1186/Gb-2014-15-4-R64 |
0.811 |
|
2014 |
Zhou J, Troyanskaya OG. Global quantitative modeling of chromatin factor interactions. Plos Computational Biology. 10: e1003525. PMID 24675896 DOI: 10.1371/Journal.Pcbi.1003525 |
0.416 |
|
2014 |
Dress A, Linial M, Troyanskaya O, Vingron M. ISCB/SPRINGER series in computational biology Bioinformatics. 30: 146-147. DOI: 10.1093/Bioinformatics/Btt630 |
0.355 |
|
2013 |
Aure MR, Leivonen SK, Fleischer T, Zhu Q, Overgaard J, Alsner J, Tramm T, Louhimo R, Alnæs GI, Perälä M, Busato F, Touleimat N, Tost J, Børresen-Dale AL, Hautaniemi S, ... Troyanskaya OG, et al. Individual and combined effects of DNA methylation and copy number alterations on miRNA expression in breast tumors. Genome Biology. 14: R126. PMID 24257477 DOI: 10.1186/Gb-2013-14-11-R126 |
0.435 |
|
2013 |
Lee YS, Krishnan A, Zhu Q, Troyanskaya OG. Ontology-aware classification of tissue and cell-type signals in gene expression profiles across platforms and technologies. Bioinformatics (Oxford, England). 29: 3036-44. PMID 24037214 DOI: 10.1093/Bioinformatics/Btt529 |
0.75 |
|
2013 |
Ju W, Greene CS, Eichinger F, Nair V, Hodgin JB, Bitzer M, Lee YS, Zhu Q, Kehata M, Li M, Jiang S, Rastaldi MP, Cohen CD, Troyanskaya OG, Kretzler M. Defining cell-type specificity at the transcriptional level in human disease. Genome Research. 23: 1862-73. PMID 23950145 DOI: 10.1101/Gr.155697.113 |
0.687 |
|
2013 |
Caudy AA, Guan Y, Jia Y, Hansen C, DeSevo C, Hayes AP, Agee J, Alvarez-Dominguez JR, Arellano H, Barrett D, Bauerle C, Bisaria N, Bradley PH, Breunig JS, Bush E, ... ... Troyanskaya OG, et al. A new system for comparative functional genomics of Saccharomyces yeasts. Genetics. 195: 275-87. PMID 23852385 DOI: 10.1534/Genetics.113.152918 |
0.821 |
|
2013 |
Park CY, Wong AK, Greene CS, Rowland J, Guan Y, Bongo LA, Burdine RD, Troyanskaya OG. Functional knowledge transfer for high-accuracy prediction of under-studied biological processes. Plos Computational Biology. 9: e1002957. PMID 23516347 DOI: 10.1371/Journal.Pcbi.1002957 |
0.72 |
|
2013 |
Guan Y, Dunham MJ, Troyanskaya OG, Caudy AA. Comparative gene expression between two yeast species. Bmc Genomics. 14: 33. PMID 23324262 DOI: 10.1186/1471-2164-14-33 |
0.72 |
|
2013 |
Park CY, Wong AK, Greene CS, Rowland J, Guan Y, Bongo LA, Burdine RD, Troyanskaya OG. Functional knowledge transfer (FKT) improves prediction accuracy for a wide range of state-of-the-art classification algorithms. Plos Computational Biology. DOI: 10.1371/Journal.Pcbi.1002957.G004 |
0.644 |
|
2012 |
Greene CS, Troyanskaya OG. Chapter 2: Data-driven view of disease biology. Plos Computational Biology. 8: e1002816. PMID 23300408 DOI: 10.1371/Journal.Pcbi.1002816 |
0.628 |
|
2012 |
Guan Y, Gorenshteyn D, Burmeister M, Wong AK, Schimenti JC, Handel MA, Bult CJ, Hibbs MA, Troyanskaya OG. Tissue-specific functional networks for prioritizing phenotype and disease genes. Plos Computational Biology. 8: e1002694. PMID 23028291 DOI: 10.1371/Journal.Pcbi.1002694 |
0.811 |
|
2012 |
Nair VD, Ge Y, Balasubramaniyan N, Kim J, Okawa Y, Chikina M, Troyanskaya O, Sealfon SC. Involvement of histone demethylase LSD1 in short-time-scale gene expression changes during cell cycle progression in embryonic stem cells. Molecular and Cellular Biology. 32: 4861-76. PMID 23028048 DOI: 10.1128/Mcb.00816-12 |
0.673 |
|
2012 |
Wong AK, Park CY, Greene CS, Bongo LA, Guan Y, Troyanskaya OG. IMP: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks. Nucleic Acids Research. 40: W484-90. PMID 22684505 DOI: 10.1093/Nar/Gks458 |
0.717 |
|
2012 |
Greene CS, Troyanskaya OG. Accurate evaluation and analysis of functional genomics data and methods. Annals of the New York Academy of Sciences. 1260: 95-100. PMID 22268703 DOI: 10.1111/J.1749-6632.2011.06383.X |
0.626 |
|
2012 |
Chikina MD, Troyanskaya OG. An effective statistical evaluation of ChIPseq dataset similarity. Bioinformatics (Oxford, England). 28: 607-13. PMID 22262674 DOI: 10.1093/Bioinformatics/Bts009 |
0.641 |
|
2012 |
Kristensen VN, Vaske CJ, Ursini-Siegel J, Van Loo P, Nordgard SH, Sachidanandam R, Sørlie T, Wärnberg F, Haakensen VD, Helland Å, Naume B, Perou CM, Haussler D, Troyanskaya OG, Børresen-Dale AL. Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling. Proceedings of the National Academy of Sciences of the United States of America. 109: 2802-7. PMID 21908711 DOI: 10.1073/Pnas.1108781108 |
0.337 |
|
2011 |
Guan Y, Yao V, Tsui K, Gebbia M, Dunham MJ, Nislow C, Troyanskaya OG. Nucleosome-coupled expression differences in closely-related species. Bmc Genomics. 12: 466. PMID 21942931 DOI: 10.1186/1471-2164-12-466 |
0.697 |
|
2011 |
Greene CS, Troyanskaya OG. PILGRM: an interactive data-driven discovery platform for expert biologists. Nucleic Acids Research. 39: W368-74. PMID 21653547 DOI: 10.1093/Nar/Gkr440 |
0.644 |
|
2011 |
Chikina MD, Troyanskaya OG. Accurate quantification of functional analogy among close homologs. Plos Computational Biology. 7: e1001074. PMID 21304936 DOI: 10.1371/Journal.Pcbi.1001074 |
0.697 |
|
2010 |
Pop A, Huttenhower C, Iyer-Pascuzzi A, Benfey PN, Troyanskaya OG. Integrated functional networks of process, tissue, and developmental stage specific interactions in Arabidopsis thaliana. Bmc Systems Biology. 4: 180. PMID 21194434 DOI: 10.1186/1752-0509-4-180 |
0.561 |
|
2010 |
Markowetz F, Mulder KW, Airoldi EM, Lemischka IR, Troyanskaya OG. Mapping dynamic histone acetylation patterns to gene expression in nanog-depleted murine embryonic stem cells. Plos Computational Biology. 6: e1001034. PMID 21187909 DOI: 10.1371/Journal.Pcbi.1001034 |
0.38 |
|
2010 |
Park CY, Hess DC, Huttenhower C, Troyanskaya OG. Simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway components. Plos Computational Biology. 6: e1001009. PMID 21124865 DOI: 10.1371/Journal.Pcbi.1001009 |
0.592 |
|
2010 |
Guan Y, Ackert-Bicknell CL, Kell B, Troyanskaya OG, Hibbs MA. Functional genomics complements quantitative genetics in identifying disease-gene associations. Plos Computational Biology. 6: e1000991. PMID 21085640 DOI: 10.1371/Journal.Pcbi.1000991 |
0.804 |
|
2010 |
Baryshnikova A, Costanzo M, Kim Y, Ding H, Koh J, Toufighi K, Youn JY, Ou J, San Luis BJ, Bandyopadhyay S, Hibbs M, Hess D, Gingras AC, Bader GD, Troyanskaya OG, et al. Quantitative analysis of fitness and genetic interactions in yeast on a genome scale. Nature Methods. 7: 1017-24. PMID 21076421 DOI: 10.1038/Nmeth.1534 |
0.798 |
|
2010 |
Greene CS, Troyanskaya OG. Integrative systems biology for data-driven knowledge discovery. Seminars in Nephrology. 30: 443-54. PMID 21044756 DOI: 10.1016/J.Semnephrol.2010.07.002 |
0.574 |
|
2010 |
Guan Y, Dunham M, Caudy A, Troyanskaya O. Systematic planning of genome-scale experiments in poorly studied species Plos Computational Biology. 6. PMID 20221257 DOI: 10.1371/Journal.Pcbi.1000698 |
0.71 |
|
2010 |
Costanzo M, Baryshnikova A, Bellay J, Kim Y, Spear ED, Sevier CS, Ding H, Koh JL, Toufighi K, Mostafavi S, Prinz J, St Onge RP, VanderSluis B, Makhnevych T, Vizeacoumar FJ, ... ... Troyanskaya OG, et al. The genetic landscape of a cell. Science (New York, N.Y.). 327: 425-31. PMID 20093466 DOI: 10.1126/Science.1180823 |
0.784 |
|
2009 |
Huttenhower C, Mehmood SO, Troyanskaya OG. Graphle: Interactive exploration of large, dense graphs. Bmc Bioinformatics. 10: 417. PMID 20003429 DOI: 10.1186/1471-2105-10-417 |
0.568 |
|
2009 |
Lu R, Markowetz F, Unwin RD, Leek JT, Airoldi EM, MacArthur BD, Lachmann A, Rozov R, Ma'ayan A, Boyer LA, Troyanskaya OG, Whetton AD, Lemischka IR. Systems-level dynamic analyses of fate change in murine embryonic stem cells. Nature. 462: 358-62. PMID 19924215 DOI: 10.1038/Nature08575 |
0.348 |
|
2009 |
Huttenhower C, Mutungu KT, Indik N, Yang W, Schroeder M, Forman JJ, Troyanskaya OG, Coller HA. Detailing regulatory networks through large scale data integration. Bioinformatics (Oxford, England). 25: 3267-74. PMID 19825796 DOI: 10.1093/Bioinformatics/Btp588 |
0.616 |
|
2009 |
Myers CL, Chiriac C, Troyanskaya OG. Discovering biological networks from diverse functional genomic data. Methods in Molecular Biology (Clifton, N.J.). 563: 157-75. PMID 19597785 DOI: 10.1007/978-1-60761-175-2_9 |
0.67 |
|
2009 |
Huttenhower C, Hibbs MA, Myers CL, Caudy AA, Hess DC, Troyanskaya OG. The impact of incomplete knowledge on evaluation: an experimental benchmark for protein function prediction. Bioinformatics (Oxford, England). 25: 2404-10. PMID 19561015 DOI: 10.1093/Bioinformatics/Btp397 |
0.803 |
|
2009 |
Chikina MD, Huttenhower C, Murphy CT, Troyanskaya OG. Global prediction of tissue-specific gene expression and context-dependent gene networks in Caenorhabditis elegans. Plos Computational Biology. 5: e1000417. PMID 19543383 DOI: 10.1371/Journal.Pcbi.1000417 |
0.738 |
|
2009 |
Huttenhower C, Myers CL, Hibbs MA, Troyanskaya OG. Computational analysis of the yeast proteome: understanding and exploiting functional specificity in genomic data. Methods in Molecular Biology (Clifton, N.J.). 548: 273-93. PMID 19521830 DOI: 10.1007/978-1-59745-540-4_15 |
0.805 |
|
2009 |
Hibbs MA, Myers CL, Huttenhower C, Hess DC, Li K, Caudy AA, Troyanskaya OG. Directing experimental biology: a case study in mitochondrial biogenesis. Plos Computational Biology. 5: e1000322. PMID 19300515 DOI: 10.1371/Journal.Pcbi.1000322 |
0.823 |
|
2009 |
Hess DC, Myers CL, Huttenhower C, Hibbs MA, Hayes AP, Paw J, Clore JJ, Mendoza RM, Luis BS, Nislow C, Giaever G, Costanzo M, Troyanskaya OG, Caudy AA. Computationally driven, quantitative experiments discover genes required for mitochondrial biogenesis. Plos Genetics. 5: e1000407. PMID 19300474 DOI: 10.1371/Journal.Pgen.1000407 |
0.793 |
|
2009 |
Huttenhower C, Haley EM, Hibbs MA, Dumeaux V, Barrett DR, Coller HA, Troyanskaya OG. Exploring the human genome with functional maps. Genome Research. 19: 1093-106. PMID 19246570 DOI: 10.1101/Gr.082214.108 |
0.804 |
|
2009 |
Bradley PH, Brauer MJ, Rabinowitz JD, Troyanskaya OG. Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae. Plos Computational Biology. 5: e1000270. PMID 19180179 DOI: 10.1371/Journal.Pcbi.1000270 |
0.812 |
|
2009 |
Airoldi EM, Huttenhower C, Gresham D, Lu C, Caudy AA, Dunham MJ, Broach JR, Botstein D, Troyanskaya OG. Predicting cellular growth from gene expression signatures. Plos Computational Biology. 5: e1000257. PMID 19119411 DOI: 10.1371/Journal.Pcbi.1000257 |
0.795 |
|
2009 |
Barutcuoglu Z, Airoldi EM, Dumeaux V, Schapire RE, Troyanskaya OG. Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields. Bioinformatics (Oxford, England). 25: 1307-13. PMID 19052061 DOI: 10.1093/Bioinformatics/Btn585 |
0.406 |
|
2009 |
Rocke DM, Ideker T, Troyanskaya O, Quackenbush J, Dopazo J. Papers on normalization, variable selection, classification or clustering of microarray data Bioinformatics. 25: 701-702. DOI: 10.1093/Bioinformatics/Btp038 |
0.37 |
|
2008 |
Guan Y, Myers CL, Lu R, Lemischka IR, Bult CJ, Troyanskaya OG. A genomewide functional network for the laboratory mouse. Plos Computational Biology. 4: e1000165. PMID 18818725 DOI: 10.1371/Journal.Pcbi.1000165 |
0.739 |
|
2008 |
Guan Y, Myers CL, Hess DC, Barutcuoglu Z, Caudy AA, Troyanskaya OG. Predicting gene function in a hierarchical context with an ensemble of classifiers. Genome Biology. 9: S3. PMID 18613947 DOI: 10.1186/Gb-2008-9-S1-S3 |
0.727 |
|
2008 |
Peña-Castillo L, Tasan M, Myers CL, Lee H, Joshi T, Zhang C, Guan Y, Leone M, Pagnani A, Kim WK, Krumpelman C, Tian W, Obozinski G, Qi Y, Mostafavi S, ... ... Troyanskaya OG, et al. A critical assessment of Mus musculus gene function prediction using integrated genomic evidence. Genome Biology. 9: S2. PMID 18613946 DOI: 10.1186/Gb-2008-9-S1-S2 |
0.728 |
|
2008 |
Huttenhower C, Troyanskaya OG. Assessing the functional structure of genomic data. Bioinformatics (Oxford, England). 24: i330-8. PMID 18586732 DOI: 10.1093/bioinformatics/btn160 |
0.557 |
|
2008 |
Huttenhower C, Schroeder M, Chikina MD, Troyanskaya OG. The Sleipnir library for computational functional genomics. Bioinformatics (Oxford, England). 24: 1559-61. PMID 18499696 DOI: 10.1093/Bioinformatics/Btn237 |
0.723 |
|
2008 |
Brauer MJ, Huttenhower C, Airoldi EM, Rosenstein R, Matese JC, Gresham D, Boer VM, Troyanskaya OG, Botstein D. Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast. Molecular Biology of the Cell. 19: 352-67. PMID 17959824 DOI: 10.1091/Mbc.E07-08-0779 |
0.632 |
|
2007 |
Troyanskaya OG. Integrated analysis of microarray results. Methods in Molecular Biology (Clifton, N.J.). 382: 429-37. PMID 18220247 DOI: 10.1007/978-1-59745-304-2_27 |
0.445 |
|
2007 |
Troyanskaya O. "Getting started in...": A series not to miss Plos Computational Biology. 3: 1841. PMID 17967055 DOI: 10.1371/Journal.Pcbi.0030224 |
0.326 |
|
2007 |
Hibbs MA, Hess DC, Myers CL, Huttenhower C, Li K, Troyanskaya OG. Exploring the functional landscape of gene expression: directed search of large microarray compendia. Bioinformatics (Oxford, England). 23: 2692-9. PMID 17724061 DOI: 10.1093/Bioinformatics/Btm403 |
0.82 |
|
2007 |
Huttenhower C, Flamholz AI, Landis JN, Sahi S, Myers CL, Olszewski KL, Hibbs MA, Siemers NO, Troyanskaya OG, Coller HA. Nearest Neighbor Networks: clustering expression data based on gene neighborhoods. Bmc Bioinformatics. 8: 250. PMID 17626636 DOI: 10.1186/1471-2105-8-250 |
0.793 |
|
2007 |
Myers CL, Troyanskaya OG. Context-sensitive data integration and prediction of biological networks. Bioinformatics (Oxford, England). 23: 2322-30. PMID 17599939 DOI: 10.1093/Bioinformatics/Btm332 |
0.648 |
|
2007 |
Markowetz F, Troyanskaya OG. Computational identification of cellular networks and pathways. Molecular Biosystems. 3: 478-82. PMID 17579773 DOI: 10.1039/B617014P |
0.434 |
|
2007 |
Chi A, Huttenhower C, Geer LY, Coon JJ, Syka JE, Bai DL, Shabanowitz J, Burke DJ, Troyanskaya OG, Hunt DF. Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry. Proceedings of the National Academy of Sciences of the United States of America. 104: 2193-8. PMID 17287358 DOI: 10.1073/Pnas.0607084104 |
0.506 |
|
2007 |
Haarer B, Viggiano S, Hibbs MA, Troyanskaya OG, Amberg DC. Modeling complex genetic interactions in a simple eukaryotic genome: actin displays a rich spectrum of complex haploinsufficiencies. Genes & Development. 21: 148-59. PMID 17167106 DOI: 10.1101/Gad.1477507 |
0.678 |
|
2007 |
Guan Y, Dunham MJ, Troyanskaya OG. Functional analysis of gene duplications in Saccharomyces cerevisiae. Genetics. 175: 933-43. PMID 17151249 DOI: 10.1534/Genetics.106.064329 |
0.74 |
|
2007 |
Hibbs M, Wallace G, Dunham M, Li K, Troyanskaya O. Viewing the larger context of genomic data through horizontal integration Proceedings of the International Conference On Information Visualisation. 326-332. DOI: 10.1109/IV.2007.120 |
0.568 |
|
2007 |
Wallace G, Hibbs M, Dunham M, Sealfon R, Troyanskaya O, Li K. Scalable, dynamic analysis and visualization for genomic datasets Proceedings - 21st International Parallel and Distributed Processing Symposium, Ipdps 2007; Abstracts and Cd-Rom. DOI: 10.1109/IPDPS.2007.370529 |
0.54 |
|
2006 |
Huttenhower C, Troyanskaya OG. Bayesian data integration: a functional perspective. Computational Systems Bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference. 341-51. PMID 17369653 |
0.52 |
|
2006 |
Sealfon RS, Hibbs MA, Huttenhower C, Myers CL, Troyanskaya OG. GOLEM: an interactive graph-based gene-ontology navigation and analysis tool. Bmc Bioinformatics. 7: 443. PMID 17032457 DOI: 10.1186/1471-2105-7-443 |
0.81 |
|
2006 |
Huttenhower C, Hibbs M, Myers C, Troyanskaya OG. A scalable method for integration and functional analysis of multiple microarray datasets. Bioinformatics (Oxford, England). 22: 2890-7. PMID 17005538 DOI: 10.1093/Bioinformatics/Btl492 |
0.729 |
|
2006 |
Myers CL, Barrett DR, Hibbs MA, Huttenhower C, Troyanskaya OG. Finding function: evaluation methods for functional genomic data. Bmc Genomics. 7: 187. PMID 16869964 DOI: 10.1186/1471-2164-7-187 |
0.796 |
|
2006 |
Brown JA, Sherlock G, Myers CL, Burrows NM, Deng C, Wu HI, McCann KE, Troyanskaya OG, Brown JM. Global analysis of gene function in yeast by quantitative phenotypic profiling. Molecular Systems Biology. 2: 2006.0001. PMID 16738548 DOI: 10.1038/Msb4100043 |
0.745 |
|
2006 |
Barutcuoglu Z, Schapire RE, Troyanskaya OG. Hierarchical multi-label prediction of gene function. Bioinformatics (Oxford, England). 22: 830-6. PMID 16410319 DOI: 10.1093/Bioinformatics/Btk048 |
0.395 |
|
2005 |
Myers CL, Robson D, Wible A, Hibbs MA, Chiriac C, Theesfeld CL, Dolinski K, Troyanskaya OG. Discovery of biological networks from diverse functional genomic data. Genome Biology. 6: R114. PMID 16420673 DOI: 10.1186/Gb-2005-6-13-R114 |
0.801 |
|
2005 |
Wallace G, Anshus OJ, Bi P, Chen H, Chen Y, Clark D, Cook P, Finkelstein A, Funkhouser T, Gupta A, Hibbs M, Li K, Liu Z, Samanta R, Sukthankar R, ... Troyanskaya O, et al. Tools and applications for large-scale display walls. Ieee Computer Graphics and Applications. 25: 24-33. PMID 16060571 DOI: 10.1109/Mcg.2005.89 |
0.704 |
|
2005 |
Myers CL, Chen X, Troyanskaya OG. Visualization-based discovery and analysis of genomic aberrations in microarray data. Bmc Bioinformatics. 6: 146. PMID 15953389 DOI: 10.1186/1471-2105-6-146 |
0.63 |
|
2005 |
Hibbs MA, Dirksen NC, Li K, Troyanskaya OG. Visualization methods for statistical analysis of microarray clusters. Bmc Bioinformatics. 6: 115. PMID 15890080 DOI: 10.1186/1471-2105-6-115 |
0.717 |
|
2005 |
Troyanskaya OG. Putting microarrays in a context: integrated analysis of diverse biological data. Briefings in Bioinformatics. 6: 34-43. PMID 15826355 DOI: 10.1093/Bib/6.1.34 |
0.449 |
|
2005 |
Huttenhower C, Troyanskaya O. A general methodology for integration of microarray data 2005 Ieee Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts. 109. DOI: 10.1109/CSBW.2005.8 |
0.45 |
|
2004 |
Myers CL, Dunham MJ, Kung SY, Troyanskaya OG. Accurate detection of aneuploidies in array CGH and gene expression microarray data. Bioinformatics (Oxford, England). 20: 3533-43. PMID 15284100 DOI: 10.1093/Bioinformatics/Bth440 |
0.743 |
|
2004 |
Liang MP, Troyanskaya OG, Laederach A, Brutlag DL, Altman RB. Computational functional genomics Ieee Signal Processing Magazine. 21: 62-69. DOI: 10.1109/Msp.2004.1359143 |
0.509 |
|
2003 |
Whitfield ML, Finlay DR, Murray JI, Troyanskaya OG, Chi JT, Pergamenschikov A, McCalmont TH, Brown PO, Botstein D, Connolly MK. Systemic and cell type-specific gene expression patterns in scleroderma skin. Proceedings of the National Academy of Sciences of the United States of America. 100: 12319-24. PMID 14530402 DOI: 10.1073/Pnas.1635114100 |
0.666 |
|
2003 |
Chi JT, Chang HY, Haraldsen G, Jahnsen FL, Troyanskaya OG, Chang DS, Wang Z, Rockson SG, van de Rijn M, Botstein D, Brown PO. Endothelial cell diversity revealed by global expression profiling. Proceedings of the National Academy of Sciences of the United States of America. 100: 10623-8. PMID 12963823 DOI: 10.1073/Pnas.1434429100 |
0.53 |
|
2003 |
Schaner ME, Ross DT, Ciaravino G, Sorlie T, Troyanskaya O, Diehn M, Wang YC, Duran GE, Sikic TL, Caldeira S, Skomedal H, Tu IP, Hernandez-Boussard T, Johnson SW, O'Dwyer PJ, et al. Gene expression patterns in ovarian carcinomas. Molecular Biology of the Cell. 14: 4376-86. PMID 12960427 DOI: 10.1091/Mbc.E03-05-0279 |
0.514 |
|
2003 |
Chen X, Leung SY, Yuen ST, Chu KM, Ji J, Li R, Chan AS, Law S, Troyanskaya OG, Wong J, So S, Botstein D, Brown PO. Variation in gene expression patterns in human gastric cancers. Molecular Biology of the Cell. 14: 3208-15. PMID 12925757 DOI: 10.1091/Mbc.E02-12-0833 |
0.501 |
|
2003 |
Troyanskaya OG, Dolinski K, Owen AB, Altman RB, Botstein D. A Bayesian framework for combining heterogeneous data sources for gene function prediction (in Saccharomyces cerevisiae). Proceedings of the National Academy of Sciences of the United States of America. 100: 8348-53. PMID 12826619 DOI: 10.1073/Pnas.0832373100 |
0.702 |
|
2003 |
Bohen SP, Troyanskaya OG, Alter O, Warnke R, Botstein D, Brown PO, Levy R. Variation in gene expression patterns in follicular lymphoma and the response to rituximab. Proceedings of the National Academy of Sciences of the United States of America. 100: 1926-30. PMID 12571354 DOI: 10.1073/Pnas.0437875100 |
0.748 |
|
2002 |
Leung SY, Chen X, Chu KM, Yuen ST, Mathy J, Ji J, Chan AS, Li R, Law S, Troyanskaya OG, Tu IP, Wong J, So S, Botstein D, Brown PO. Phospholipase A2 group IIA expression in gastric adenocarcinoma is associated with prolonged survival and less frequent metastasis. Proceedings of the National Academy of Sciences of the United States of America. 99: 16203-8. PMID 12456890 DOI: 10.1073/Pnas.212646299 |
0.507 |
|
2002 |
Troyanskaya OG, Garber ME, Brown PO, Botstein D, Altman RB. Nonparametric methods for identifying differentially expressed genes in microarray data. Bioinformatics (Oxford, England). 18: 1454-61. PMID 12424116 DOI: 10.1093/Bioinformatics/18.11.1454 |
0.66 |
|
2002 |
Troyanskaya OG, Arbell O, Koren Y, Landau GM, Bolshoy A. Sequence complexity profiles of prokaryotic genomic sequences: a fast algorithm for calculating linguistic complexity. Bioinformatics (Oxford, England). 18: 679-88. PMID 12050064 DOI: 10.1093/Bioinformatics/18.5.679 |
0.309 |
|
2001 |
Garber ME, Troyanskaya OG, Schluens K, Petersen S, Thaesler Z, Pacyna-Gengelbach M, van de Rijn M, Rosen GD, Perou CM, Whyte RI, Altman RB, Brown PO, Botstein D, Petersen I. Diversity of gene expression in adenocarcinoma of the lung. Proceedings of the National Academy of Sciences of the United States of America. 98: 13784-9. PMID 11707590 DOI: 10.1073/Pnas.241500798 |
0.629 |
|
2001 |
Troyanskaya O, Cantor M, Sherlock G, Brown P, Hastie T, Tibshirani R, Botstein D, Altman RB. Missing value estimation methods for DNA microarrays Bioinformatics. 17: 520-525. PMID 11395428 DOI: 10.1093/Bioinformatics/17.6.520 |
0.79 |
|
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