| Comprehensive molecular portraits of human breast tumours Cancer Genome Atlas Network Nature 490 (7418), 61, 2012 | 11724* | 2012 |
| Machine learning identifies stemness features associated with oncogenic dedifferentiation TM Malta, A Sokolov, AJ Gentles, T Burzykowski, L Poisson, JN Weinstein, ... Cell 173 (2), 338-354. e15, 2018 | 1846 | 2018 |
| A large-scale evaluation of computational protein function prediction P Radivojac, WT Clark, TR Oron, AM Schnoes, T Wittkop, A Sokolov, ... Nature methods 10 (3), 221-227, 2013 | 1140 | 2013 |
| Clinical and genomic characterization of treatment-emergent small-cell neuroendocrine prostate cancer: a multi-institutional prospective study R Aggarwal, J Huang, JJ Alumkal, L Zhang, FY Feng, GV Thomas, ... Journal of Clinical Oncology 36 (24), 2492-2503, 2018 | 707 | 2018 |
| The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution O Rozenblatt-Rosen, A Regev, P Oberdoerffer, T Nawy, A Hupalowska, ... Cell 181 (2), 236-249, 2020 | 464 | 2020 |
| N-Myc drives neuroendocrine prostate cancer initiated from human prostate epithelial cells JK Lee, JW Phillips, BA Smith, JW Park, T Stoyanova, EF McCaffrey, ... Cancer cell 29 (4), 536-547, 2016 | 404 | 2016 |
| Assessing the clinical utility of cancer genomic and proteomic data across tumor types Y Yuan, EM Van Allen, L Omberg, N Wagle, A Amin-Mansour, A Sokolov, ... Nature biotechnology 32 (7), 644-652, 2014 | 321 | 2014 |
| Inferring causal molecular networks: empirical assessment through a community-based effort SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ... Nature methods 13 (4), 310-318, 2016 | 263 | 2016 |
| A basal stem cell signature identifies aggressive prostate cancer phenotypes BA Smith, A Sokolov, V Uzunangelov, R Baertsch, Y Newton, K Graim, ... Proceedings of the National Academy of Sciences 112 (47), E6544-E6552, 2015 | 223 | 2015 |
| Machine learning identifies candidates for drug repurposing in Alzheimer’s disease S Rodriguez, C Hug, P Todorov, N Moret, SA Boswell, K Evans, G Zhou, ... Nature communications 12 (1), 1033, 2021 | 220 | 2021 |
| A distinct DNA methylation shift in a subset of glioma CpG island methylator phenotypes during tumor recurrence CF de Souza, TS Sabedot, TM Malta, L Stetson, O Morozova, A Sokolov, ... Cell reports 23 (2), 637-651, 2018 | 179 | 2018 |
| MCMICRO: A scalable, modular image-processing pipeline for multiplexed tissue imaging D Schapiro, A Sokolov, C Yapp, JL Muhlich, J Hess, JR Lin, YA Chen, ... Nature Methods, 2021 | 174 | 2021 |
| Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open … J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ... The Lancet Oncology 18 (1), 132-142, 2017 | 168 | 2017 |
| Pathway-based genomics prediction using generalized elastic net A Sokolov, DE Carlin, EO Paull, R Baertsch, JM Stuart PLoS computational biology 12 (3), e1004790, 2016 | 123 | 2016 |
| PARADIGM-SHIFT predicts the function of mutations in multiple cancers using pathway impact analysis S Ng, EA Collisson, A Sokolov, T Goldstein, A Gonzalez-Perez, ... Bioinformatics 28 (18), i640-i646, 2012 | 115 | 2012 |
| Unbiased tournament selection A Sokolov, D Whitley Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 112 | 2005 |
| One-class detection of cell states in tumor subtypes A Sokolov, EO Paull, JM Stuart Biocomputing 2016: Proceedings of the Pacific Symposium, 405-416, 2016 | 103 | 2016 |
| Hierarchical classification of gene ontology terms using the GOstruct method A Sokolov, A Ben-Hur Journal of bioinformatics and computational biology 8 (02), 357-376, 2010 | 102 | 2010 |
| Characterization of neuroendocrine prostate cancer (NEPC) in patients with metastatic castration resistant prostate cancer (mCRPC) resistant to abiraterone (Abi) or … EJ Small, J Huang, J Youngren, A Sokolov, RR Aggarwal, G Thomas, ... Journal of Clinical Oncology 33 (15_suppl), 5003-5003, 2015 | 85 | 2015 |
| Geometric subspace methods and time-delay embedding for EEG artifact removal and classification CW Anderson, JN Knight, T O'Connor, MJ Kirby, A Sokolov IEEE Transactions on Neural Systems and Rehabilitation Engineering 14 (2 …, 2006 | 85 | 2006 |
