Adam A. Margolin, Ph.D.
Affiliations: | Oregon Health and Science University, Portland, OR |
Area:
Cancer, Gene regulatory models, Computational BiologyGoogle:
"Adam Margolin"Parents
Sign in to add mentor| Andrea Califano | grad student | 2008 | Columbia (Physics Tree) | |
| (Computational inference of genetic regulatory networks in human cancer cells.) | ||||
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Publications
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| Barretina J, Caponigro G, Stransky N, et al. (2018) Addendum: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature |
| Xu C, Nikolova O, Basom R, et al. (2018) Functional precision medicine identifies novel druggable targets and therapeutic options in head and neck cancer. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research |
| Wagner A, Walsh B, Sonkin D, et al. (2018) 4. Coordinating variant interpretation knowledgebases improves clinical interpretation of genomic variants in cancers Cancer Genetics and Cytogenetics. 37 |
| Nikolova O, Moser R, Kemp C, et al. (2017) Modeling Gene-Wise Dependencies Improves the Identification of Drug Response Biomarkers in Cancer Studies. Bioinformatics (Oxford, England) |
| Griffith O, Griffith M, Tamborero D, et al. (2017) Global integration of knowledgebases for clinical interpretation of cancer variants F1000research. 6 |
| Griffith OL, Griffith M, Tamborero D, et al. (2017) Abstract 2608: Global integration of knowledgebases for clinical interpretation of cancer variants Cancer Research. 77: 2608-2608 |
| Gerhard DS, Clemons PA, Shamji AF, et al. (2016) Transforming Big Data into cancer-relevant insight: An initial, multi-tier approach to assess reproducibility and relevance. Molecular Cancer Research : McR |
| Ewing AD, Houlahan KE, Hu Y, et al. (2015) Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection. Nature Methods |
| Jang IS, Dienstmann R, Margolin AA, et al. (2015) Stepwise group sparse regression (SGSR): gene-set-based pharmacogenomic predictive models with stepwise selection of functional priors. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 32-43 |
| Boutros PC, Margolin AA, Stuart JM, et al. (2014) Toward better benchmarking: challenge-based methods assessment in cancer genomics. Genome Biology. 15: 462 |