Year |
Citation |
Score |
2023 |
Shapiro JA, Gaonkar KS, Spielman SJ, Savonen CL, Bethell CJ, Jin R, Rathi KS, Zhu Y, Egolf LE, Farrow BK, Miller DP, Yang Y, Koganti T, Noureen N, Koptyra MP, ... ... Taroni JN, et al. OpenPBTA: The Open Pediatric Brain Tumor Atlas. Cell Genomics. 3: 100340. PMID 37492101 DOI: 10.1016/j.xgen.2023.100340 |
0.61 |
|
2023 |
Banerjee J, Taroni JN, Allaway RJ, Prasad DV, Guinney J, Greene C. Machine learning in rare disease. Nature Methods. PMID 37248386 DOI: 10.1038/s41592-023-01886-z |
0.507 |
|
2023 |
Dang MT, Gonzalez MV, Gaonkar KS, Rathi KS, Young P, Arif S, Zhai L, Alam Z, Devalaraja S, Jerrick To TK, Folkert IW, Raman P, Rokita JL, Martinez D, Taroni JN, et al. Macrophages in SHH subgroup medulloblastoma display dynamic heterogeneity that varies with treatment modality. Cell Reports. 42: 112600. PMID 37235472 DOI: 10.1016/j.celrep.2023.112600 |
0.423 |
|
2023 |
Foltz SM, Greene CS, Taroni JN. Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously. Communications Biology. 6: 222. PMID 36841852 DOI: 10.1038/s42003-023-04588-6 |
0.491 |
|
2022 |
Oh S, Geistlinger L, Ramos M, Blankenberg D, van den Beek M, Taroni JN, Carey VJ, Greene CS, Waldron L, Davis S. GenomicSuperSignature facilitates interpretation of RNA-seq experiments through robust, efficient comparison to public databases. Nature Communications. 13: 3695. PMID 35760813 DOI: 10.1038/s41467-022-31411-3 |
0.511 |
|
2022 |
Fungtammasan A, Lee A, Taroni J, Wheeler K, Chin CS, Davis S, Greene C. Ten simple rules for large-scale data processing. Plos Computational Biology. 18: e1009757. PMID 35143491 DOI: 10.1371/journal.pcbi.1009757 |
0.556 |
|
2021 |
Dang MT, Gonzalez MV, Gaonkar KS, Rathi KS, Young P, Arif S, Zhai L, Alam Z, Devalaraja S, To TKJ, Folkert IW, Raman P, Rokita JL, Martinez D, Taroni JN, et al. Macrophages in SHH subgroup medulloblastoma display dynamic heterogeneity that varies with treatment modality. Cell Reports. 34: 108917. PMID 33789113 DOI: 10.1016/j.celrep.2021.108917 |
0.505 |
|
2020 |
Banerjee J, Allaway RJ, Taroni JN, Baker A, Zhang X, Moon CI, Pratilas CA, Blakeley JO, Guinney J, Hirbe A, Greene CS, Gosline SJ. Integrative Analysis Identifies Candidate Tumor Microenvironment and Intracellular Signaling Pathways that Define Tumor Heterogeneity in NF1. Genes. 11. PMID 32098059 DOI: 10.3390/Genes11020226 |
0.514 |
|
2019 |
Taroni JN, Grayson PC, Hu Q, Eddy S, Kretzler M, Merkel PA, Greene CS. MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease. Cell Systems. 8: 380-394.e4. PMID 31121115 DOI: 10.1016/J.Cels.2019.04.003 |
0.521 |
|
2019 |
Gonzalez-Hernandez G, Lu Z, Leaman R, Weissenbacher D, Boland MR, Chen Y, Du J, Fluck J, Greene CS, Holmes J, Kashyap A, Nielsen RL, Ouyang Z, Schaaf S, Taroni JN, et al. PSB 2019 Workshop on Text Mining and Visualization for Precision Medicine. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 449-454. PMID 30864346 |
0.48 |
|
2018 |
Grayson PC, Eddy S, Taroni JN, Lightfoot YL, Mariani L, Parikh H, Lindenmeyer MT, Ju W, Greene CS, Godfrey B, Cohen CD, Krischer J, Kretzler M, Merkel PA. Metabolic pathways and immunometabolism in rare kidney diseases. Annals of the Rheumatic Diseases. PMID 29724730 DOI: 10.1136/Annrheumdis-2017-212935 |
0.456 |
|
2018 |
Dahlstrom KM, Collins AJ, Doing G, Taroni JN, Gauvin TJ, Greene CS, Hogan DA, O'Toole GA. A Multimodal Strategy Used By A Large c-di-GMP Network. Journal of Bacteriology. PMID 29311282 DOI: 10.1128/Jb.00703-17 |
0.458 |
|
2017 |
Taroni JN, Greene CS, Martyanov V, Wood TA, Christmann RB, Farber HW, Lafyatis RA, Denton CP, Hinchcliff ME, Pioli PA, Mahoney JM, Whitfield ML. A novel multi-network approach reveals tissue-specific cellular modulators of fibrosis in systemic sclerosis. Genome Medicine. 9: 27. PMID 28330499 DOI: 10.1186/S13073-017-0417-1 |
0.475 |
|
2016 |
Sargent JL, Li Z, Aliprantis AO, Greenblatt M, Lemaire R, Wu MH, Wei J, Taroni J, Harris A, Long KB, Burgwin C, Artlett CM, Blankenhorn EP, Lafyatis R, Varga J, et al. Interspecies comparative genomics identifies optimal mouse models of systemic sclerosis. Arthritis & Rheumatology (Hoboken, N.J.). PMID 26945694 DOI: 10.1002/Art.39658 |
0.302 |
|
2015 |
Johnson ME, Mahoney JM, Taroni J, Sargent JL, Marmarelis E, Wu MR, Varga J, Hinchcliff ME, Whitfield ML. Experimentally-derived fibroblast gene signatures identify molecular pathways associated with distinct subsets of systemic sclerosis patients in three independent cohorts. Plos One. 10: e0114017. PMID 25607805 DOI: 10.1371/Journal.Pone.0114017 |
0.351 |
|
2015 |
Mahoney JM, Taroni J, Martyanov V, Wood TA, Greene CS, Pioli PA, Hinchcliff ME, Whitfield ML. Systems level analysis of systemic sclerosis shows a network of immune and profibrotic pathways connected with genetic polymorphisms. Plos Computational Biology. 11: e1004005. PMID 25569146 DOI: 10.1371/Journal.Pcbi.1004005 |
0.488 |
|
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