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Jason H Moore

Showing results (141-150 of 531) with videos related to

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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Translational Bioinformatics: Biobanks in the Precision Medicine EraMarylyn D Ritchie, Jason H Moore, Ju Han Kim
Genome Medicine|June 20, 2014
Predicting targeted drug combinations based on Pareto optimal patterns of coexpression network connectivityNadia M Penrod, Casey S Greene, Jason H Moore
Genetic Programming and Evolvable Machines|May 21, 2019
Automated discovery of test statistics using genetic programmingJason H Moore, Randal S Olson, Yong Chen, et al.
Genetic Epidemiology|November 15, 2014
Heuristic identification of biological architectures for simulating complex hierarchical genetic interactionsJason H Moore, Ryan Amos, Jeff Kiralis, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 26, 2021
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature SelectionElisabetta Manduchi, Trang T Le, Weixuan Fu, et al.
Biodata Mining|June 18, 2024
Using GPT-4 to write a scientific review article: a pilot evaluation studyZhiping Paul Wang, Priyanka Bhandary, Yizhou Wang, et al.
Annual Review of Biomedical Data Science|May 9, 2024
Centralized and Federated Models for the Analysis of Clinical DataRuowang Li, Joseph D Romano, Yong Chen, et al.
Biodata Mining|September 30, 2008
Filling the gap between biology and computer scienceJesús S Aguilar-Ruiz, Jason H Moore, Marylyn D Ritchie
Genetic Epidemiology|March 8, 2013
ViSEN: methodology and software for visualization of statistical epistasis networksTing Hu, Yuanzhu Chen, Jeff W Kiralis, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methodsJason H Moore, Maksim Shestov, Peter Schmitt, et al.
Pageof 54

Showing results (141-150 of 531) with videos related to

Sort By:
Pageof 54
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Translational Bioinformatics: Biobanks in the Precision Medicine EraMarylyn D Ritchie, Jason H Moore, Ju Han Kim
Genome Medicine|June 20, 2014
Predicting targeted drug combinations based on Pareto optimal patterns of coexpression network connectivityNadia M Penrod, Casey S Greene, Jason H Moore
Genetic Programming and Evolvable Machines|May 21, 2019
Automated discovery of test statistics using genetic programmingJason H Moore, Randal S Olson, Yong Chen, et al.
Genetic Epidemiology|November 15, 2014
Heuristic identification of biological architectures for simulating complex hierarchical genetic interactionsJason H Moore, Ryan Amos, Jeff Kiralis, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 26, 2021
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature SelectionElisabetta Manduchi, Trang T Le, Weixuan Fu, et al.
Biodata Mining|June 18, 2024
Using GPT-4 to write a scientific review article: a pilot evaluation studyZhiping Paul Wang, Priyanka Bhandary, Yizhou Wang, et al.
Annual Review of Biomedical Data Science|May 9, 2024
Centralized and Federated Models for the Analysis of Clinical DataRuowang Li, Joseph D Romano, Yong Chen, et al.
Biodata Mining|September 30, 2008
Filling the gap between biology and computer scienceJesús S Aguilar-Ruiz, Jason H Moore, Marylyn D Ritchie
Genetic Epidemiology|March 8, 2013
ViSEN: methodology and software for visualization of statistical epistasis networksTing Hu, Yuanzhu Chen, Jeff W Kiralis, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methodsJason H Moore, Maksim Shestov, Peter Schmitt, et al.
Pageof 54