Artem Sokolov, Ph.D.
Affiliations: | 2011 | Computer Science | Colorado State University, Fort Collins, CO |
Area:
Computer Science, Bioinformatics BiologyGoogle:
"Artem Sokolov"Parents
Sign in to add mentor| Asa Ben-Hur | grad student | 2011 | Colorado State | |
| (Accurate prediction of protein function using GOstruct.) | ||||
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Publications
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| Krueger R, Beyer J, Jang WD, et al. (2019) Facetto: Combining Unsupervised and Supervised Learning for Hierarchical Phenotype Analysis in Multi-Channel Image Data. Ieee Transactions On Visualization and Computer Graphics |
| Aggarwal R, Huang J, Alumkal JJ, et al. (2018) 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 |
| Malta TM, Sokolov A, Gentles AJ, et al. (2018) Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation. Cell. 173: 338-354.e15 |
| Malta TM, Sokolov A, Gentles AJ, et al. (2018) Abstract LB-373: Comprehensive analysis of cancer stemness Cancer Research. 78 |
| Carlin DE, Paull EO, Graim K, et al. (2017) Prophetic Granger Causality to infer gene regulatory networks. Plos One. 12: e0170340 |
| Gönen M, Weir BA, Cowley GS, et al. (2017) A Community Challenge for Inferring Genetic Predictors of Gene Essentialities through Analysis of a Functional Screen of Cancer Cell Lines. Cell Systems |
| Sokolov A, Carlin DE, Paull EO, et al. (2016) Pathway-Based Genomics Prediction using Generalized Elastic Net. Plos Computational Biology. 12: e1004790 |
| Hill SM, Heiser LM, Cokelaer T, et al. (2016) Inferring causal molecular networks: empirical assessment through a community-based effort. Nature Methods |
| Small EJ, Aggarwal RR, Huang J, et al. (2016) 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 |
| Smith BA, Sokolov A, Uzunangelov V, et al. (2015) A basal stem cell signature identifies aggressive prostate cancer phenotypes. Proceedings of the National Academy of Sciences of the United States of America |