Year |
Citation |
Score |
2019 |
Krueger R, Beyer J, Jang WD, Kim NW, Sokolov A, Sorger PK, Pfister H. Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data. Ieee Transactions On Visualization and Computer Graphics. PMID 31514138 DOI: 10.1109/Tvcg.2019.2934547 |
0.339 |
|
2018 |
Aggarwal R, Huang J, Alumkal JJ, Zhang L, Feng FY, Thomas GV, Weinstein AS, Friedl V, Zhang C, Witte ON, Lloyd P, Gleave M, Evans CP, Youngren J, Beer TM, ... ... Sokolov A, et al. Clinical and Genomic Characterization of Treatment-Emergent Small-Cell Neuroendocrine Prostate Cancer: A Multi-institutional Prospective Study. Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology. JCO2017776880. PMID 29985747 DOI: 10.1200/Jco.2017.77.6880 |
0.312 |
|
2018 |
Malta TM, Sokolov A, Gentles AJ, Burzykowski T, Poisson L, Weinstein JN, Kamińska B, Huelsken J, Omberg L, Gevaert O, Colaprico A, Czerwińska P, Mazurek S, Mishra L, Heyn H, et al. Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation. Cell. 173: 338-354.e15. PMID 29625051 DOI: 10.1016/J.Cell.2018.03.034 |
0.331 |
|
2018 |
Malta TM, Sokolov A, Gentles AJ, Burzykowski T, Poisson L, Weinstein J, Kamińska B, Huelsken J, Omberg L, Gevaert O, Colaprico A, Czerwińska P, Mazurek S, Mishra L, Heyn H, et al. Abstract LB-373: Comprehensive analysis of cancer stemness Cancer Research. 78. DOI: 10.1158/1538-7445.Am2018-Lb-373 |
0.345 |
|
2017 |
Carlin DE, Paull EO, Graim K, Wong CK, Bivol A, Ryabinin P, Ellrott K, Sokolov A, Stuart JM. Prophetic Granger Causality to infer gene regulatory networks. Plos One. 12: e0170340. PMID 29211761 DOI: 10.1371/Journal.Pone.0170340 |
0.387 |
|
2017 |
Gönen M, Weir BA, Cowley GS, Vazquez F, Guan Y, Jaiswal A, Karasuyama M, Uzunangelov V, Wang T, Tsherniak A, Howell S, Marbach D, Hoff B, Norman TC, Airola A, ... ... Sokolov A, et al. A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines. Cell Systems. PMID 28988802 DOI: 10.1016/J.Cels.2017.09.004 |
0.389 |
|
2016 |
Sokolov A, Carlin DE, Paull EO, Baertsch R, Stuart JM. Pathway-Based Genomics Prediction using Generalized Elastic Net. Plos Computational Biology. 12: e1004790. PMID 26960204 DOI: 10.1371/Journal.Pcbi.1004790 |
0.389 |
|
2016 |
Hill SM, Heiser LM, Cokelaer T, Unger M, Nesser NK, Carlin DE, Zhang Y, Sokolov A, Paull EO, Wong CK, Graim K, Bivol A, Wang H, Zhu F, Afsari B, et al. Inferring causal molecular networks: empirical assessment through a community-based effort. Nature Methods. PMID 26901648 DOI: 10.1038/Nmeth.3773 |
0.316 |
|
2016 |
Small EJ, Aggarwal RR, Huang J, Sokolov A, Zhang L, Alumkal JJ, Youngren J, Ryan CJ, Foye A, Reiter RE, Evans CP, Gleave M, Witte O, Stuart J, Goldstein TC, et al. Clinical and genomic characterization of metastatic small cell/neuroendocrine prostate cancer (SCNC) and intermediate atypical prostate cancer (IAC): Results from the SU2C/PCF/AACRWest Coast Prostate Cancer Dream Team (WCDT). Journal of Clinical Oncology. 34: 5019-5019. DOI: 10.1200/Jco.2016.34.15_Suppl.5019 |
0.365 |
|
2015 |
Smith BA, Sokolov A, Uzunangelov V, Baertsch R, Newton Y, Graim K, Mathis C, Cheng D, Stuart JM, Witte ON. A basal stem cell signature identifies aggressive prostate cancer phenotypes. Proceedings of the National Academy of Sciences of the United States of America. PMID 26460041 DOI: 10.1073/Pnas.1518007112 |
0.333 |
|
2015 |
Small EJ, Huang J, Youngren J, Sokolov A, Aggarwal RR, Thomas G, True LD, Zhang L, Foye A, Alumkal JJ, Ryan CJ, Rettig M, Evans CP, Gleave ME, Baertsch R, et al. Characterization of neuroendocrine prostate cancer (NEPC) in patients with metastatic castration resistant prostate cancer (mCRPC) resistant to abiraterone (Abi) or enzalutamide (Enz): Preliminary results from the SU2C/PCF/AACR West Coast Prostate Cancer Dream Team (WCDT). Journal of Clinical Oncology. 33: 5003-5003. DOI: 10.1200/Jco.2015.33.15_Suppl.5003 |
0.337 |
|
2015 |
Youngren JF, Foye A, Thomas G, Stuart JM, Goldstein T, Robert B, Bivol A, Sokolov A, Ryan CJ, Pourmand N, Beer TM, Evans CP, Lara P, Gleave ME, Chi KN, et al. Abstract A12: Identification of pathways associated with abiraterone resistance in metastatic castration resistant prostate cancer: Preliminary results from the SU2C/AACR West Coast Prostate Cancer Dream Team Clinical Cancer Research. 21. DOI: 10.1158/1557-3265.Pms14-A12 |
0.338 |
|
2015 |
Lee JK, Smith BA, Phillips JW, Park J, Stoyanova TI, Baertsch R, Sokolov A, Mathis C, Cheng D, Stuart JM, Huang J, Witte ON. Abstract A28: N-Myc drives small cell neuroendocrine cancer initiated from human prostate basal cells Molecular Cancer Research. 13. DOI: 10.1158/1557-3125.Myc15-A28 |
0.309 |
|
2015 |
Uzunangelov V, Paull E, Chopra S, Carlin D, Bivol A, Ellrott K, Graim K, Newton Y, Ng S, Sokolov A, Stuart J. Abstract PR10: Multiple Pathway Learning accurately predicts gene essentiality in the Cancer Cell Line Encyclopedia Cancer Research. 75. DOI: 10.1158/1538-7445.Transcagen-Pr10 |
0.447 |
|
2015 |
Graim K, Newton Y, Bivol A, Sokolov A, Ellrott K, Baertsch R, Stuart J. Abstract A2-64: A signature catalog to classify tumor mixtures: Application to recognition of metastatic disease in prostate cancer Cancer Research. 75. DOI: 10.1158/1538-7445.Transcagen-A2-64 |
0.354 |
|
2015 |
Uzunangelov V, Paull E, Chopra S, Carlin D, Bivol A, Ellrott K, Graim K, Newton Y, Ng S, Sokolov A, Stuart J. Abstract PR02: Multiple Pathway Learning accurately predicts gene essentiality in the Cancer Cell Line Encyclopedia Cancer Research. 75. DOI: 10.1158/1538-7445.Compsysbio-Pr02 |
0.445 |
|
2014 |
Yuan Y, Van Allen EM, Omberg L, Wagle N, Amin-Mansour A, Sokolov A, Byers LA, Xu Y, Hess KR, Diao L, Han L, Huang X, Lawrence MS, Weinstein JN, Stuart JM, et al. Assessing the clinical utility of cancer genomic and proteomic data across tumor types. Nature Biotechnology. 32: 644-52. PMID 24952901 DOI: 10.1038/Nbt.2940 |
0.378 |
|
2014 |
Bivol A, Baertsch R, Sokolov A, Paull E, Newton Y, Goldstein TC, Foye A, Pourmand N, Youngren J, Parulkar R, Lopez A, de Vere White R, Alumkal JJ, Toschi A, Beer TM, et al. Pathway-based signature analysis of RNA-seq data to reveal new targetable avenues for metastatic castration-resistant prostate cancer (mCRPC) patients (pts): Preliminary results from the SU2C/PCF/AACR West Coast Prostate Cancer Dream Team (WCDT). Journal of Clinical Oncology. 32: 11078-11078. DOI: 10.1200/Jco.2014.32.15_Suppl.11078 |
0.312 |
|
2014 |
Bivol A, Graim K, Paull E, Carlin D, Baertsch R, Sokolov A, Stuart J. Abstract 4177: Identification of pathways relevant for metastatic site prediction in prostate cancer Cancer Research. 74: 4177-4177. DOI: 10.1158/1538-7445.Am2014-4177 |
0.387 |
|
2014 |
Wolf DM, Fan C, Hoadley KA, Yau C, Sokolov A, Stuart J, Perou C, Veer Lv'. Abstract 360: Thousands of published cancer signatures and pathways can be collapsed into a handful of non-redundant gene programs: a TCGA pan-cancer analysis Cancer Research. 74: 360-360. DOI: 10.1158/1538-7445.Am2014-360 |
0.332 |
|
2013 |
Sokolov A, Funk C, Graim K, Verspoor K, Ben-Hur A. Combining heterogeneous data sources for accurate functional annotation of proteins. Bmc Bioinformatics. 14: S10. PMID 23514123 DOI: 10.1186/1471-2105-14-S3-S10 |
0.626 |
|
2013 |
Radivojac P, Clark WT, Oron TR, Schnoes AM, Wittkop T, Sokolov A, Graim K, Funk C, Verspoor K, Ben-Hur A, Pandey G, Yunes JM, Talwalkar AS, Repo S, Souza ML, et al. A large-scale evaluation of computational protein function prediction. Nature Methods. 10: 221-7. PMID 23353650 DOI: 10.1038/Nmeth.2340 |
0.625 |
|
2012 |
Ng S, Collisson EA, Sokolov A, Goldstein T, Gonzalez-Perez A, Lopez-Bigas N, Benz C, Haussler D, Stuart JM. PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis. Bioinformatics (Oxford, England). 28: i640-i646. PMID 22962493 DOI: 10.1093/Bioinformatics/Bts402 |
0.385 |
|
2012 |
Funk C, Sokolov A, Graim K, Ben-Hur A, Verspoor K. Improving automated protein function prediction by integrating natural language processing and machine learning F1000research. 3. DOI: 10.7490/F1000Research.1089821.1 |
0.601 |
|
2012 |
Szeto CW, Sokolov A, Benz S, Stuart J, Haussler D. Abstract 5085: TopModel: An online resource for predictive models in cancer Cancer Research. 72: 5085-5085. DOI: 10.1158/1538-7445.Am2012-5085 |
0.438 |
|
2011 |
Sokolov A, Ben-Hur A. Multi-view prediction of protein function 2011 Acm Conference On Bioinformatics, Computational Biology and Biomedicine, Bcb 2011. 135-142. DOI: 10.1145/2147805.2147820 |
0.624 |
|
2010 |
Sokolov A, Ben-Hur A. Hierarchical classification of gene ontology terms using the GOstruct method. Journal of Bioinformatics and Computational Biology. 8: 357-76. PMID 20401950 DOI: 10.1142/S0219720010004744 |
0.64 |
|
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