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Rama Raghavan

Showing results (1-10 of 9) with videos related to

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Computer Methods and Programs in Biomedicine|April 5, 2016
InterSIM: Simulation tool for multiple integrative 'omic datasets'Prabhakar Chalise, Rama Raghavan, Brooke L Fridley
Trials|July 25, 2016
Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone applicationYu Jiang, Peter Guarino, Shuangge Ma, et al.
Frontiers in Genetics|April 6, 2016
Genome-Wide Study of Response to Platinum, Taxane, and Combination Therapy in Ovarian Cancer: In vitro Phenotypes, Inherited Variation, and Disease RecurrenceBrooke L Fridley, Taraswi M Ghosh, Alice Wang, et al.
F1000Research|April 18, 2017
An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patientsRichard Meier, Stefan Graw, Joseph Usset, et al.
Oncotarget|March 31, 2018
Developing a genetic signature to predict drug response in ovarian cancerStephen Hyter, Jeff Hirst, Harsh Pathak, et al.
BMC Genomics|October 21, 2016
Drug discovery using clinical outcome-based Connectivity Mapping: application to ovarian cancerRama Raghavan, Stephen Hyter, Harsh B Pathak, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|July 4, 2018
Transcriptomic Characterization of Endometrioid, Clear Cell, and High-Grade Serous Epithelial Ovarian CarcinomaBrooke L Fridley, Junqiang Dai, Rama Raghavan, et al.
Oncotarget|April 20, 2017
Characterization of fusion genes in common and rare epithelial ovarian cancer histologic subtypesMadalene A Earp, Rama Raghavan, Qian Li, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|March 16, 2016
Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk FactorsJoseph L Usset, Rama Raghavan, Jonathan P Tyrer, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Computer Methods and Programs in Biomedicine|April 5, 2016
InterSIM: Simulation tool for multiple integrative 'omic datasets'Prabhakar Chalise, Rama Raghavan, Brooke L Fridley
Trials|July 25, 2016
Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone applicationYu Jiang, Peter Guarino, Shuangge Ma, et al.
Frontiers in Genetics|April 6, 2016
Genome-Wide Study of Response to Platinum, Taxane, and Combination Therapy in Ovarian Cancer: In vitro Phenotypes, Inherited Variation, and Disease RecurrenceBrooke L Fridley, Taraswi M Ghosh, Alice Wang, et al.
F1000Research|April 18, 2017
An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patientsRichard Meier, Stefan Graw, Joseph Usset, et al.
Oncotarget|March 31, 2018
Developing a genetic signature to predict drug response in ovarian cancerStephen Hyter, Jeff Hirst, Harsh Pathak, et al.
BMC Genomics|October 21, 2016
Drug discovery using clinical outcome-based Connectivity Mapping: application to ovarian cancerRama Raghavan, Stephen Hyter, Harsh B Pathak, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|July 4, 2018
Transcriptomic Characterization of Endometrioid, Clear Cell, and High-Grade Serous Epithelial Ovarian CarcinomaBrooke L Fridley, Junqiang Dai, Rama Raghavan, et al.
Oncotarget|April 20, 2017
Characterization of fusion genes in common and rare epithelial ovarian cancer histologic subtypesMadalene A Earp, Rama Raghavan, Qian Li, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|March 16, 2016
Assessment of Multifactor Gene-Environment Interactions and Ovarian Cancer Risk: Candidate Genes, Obesity, and Hormone-Related Risk FactorsJoseph L Usset, Rama Raghavan, Jonathan P Tyrer, et al.
Pageof 1