Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jason H Moore

Showing results (41-50 of 531) with videos related to

Pageof 54
Sort By:
Genetic Programming and Evolvable Machines|December 21, 2020
Learning feature spaces for regression with genetic programmingWilliam La Cava, Jason H Moore
Human Genetics|June 14, 2008
Exploiting the proteome to improve the genome-wide genetic analysis of epistasis in common human diseasesKristine A Pattin, Jason H Moore
BMC Systems Biology|February 6, 2014
Influence networks based on coexpression improve drug target discovery for the development of novel cancer therapeuticsNadia M Penrod, Jason H Moore
Biodata Mining|May 2, 2018
Improving machine learning reproducibility in genetic association studies with proportional instance cross validation (PICV)Elizabeth R Piette, Jason H Moore
Bioinformatics (Oxford, England)|February 28, 2014
Optimization of gene set annotations via entropy minimization over variable clusters (EMVC)H Robert Frost, Jason H Moore
Biodata Mining|June 19, 2015
Lumping versus splitting: the need for biological data mining in precision medicineScott M Williams, Jason H Moore
Biodata Mining|November 12, 2016
Considerations for higher efficiency and productivity in research activitiesDiego A Forero, Jason H Moore
JAMA|April 8, 2004
STUDENTJAMA. The challenges of whole-genome approaches to common diseasesJason H Moore, Marylyn D Ritchie
Bio Systems|December 4, 2003
Petri net modeling of high-order genetic systems using grammatical evolutionJason H Moore, Lance W Hahn
Oncology Reports|March 10, 2006
Visual analysis of statistical results from microarray studies of human breast cancerDavid M Reif, Jason H Moore
Pageof 54

Showing results (41-50 of 531) with videos related to

Sort By:
Pageof 54
Genetic Programming and Evolvable Machines|December 21, 2020
Learning feature spaces for regression with genetic programmingWilliam La Cava, Jason H Moore
Human Genetics|June 14, 2008
Exploiting the proteome to improve the genome-wide genetic analysis of epistasis in common human diseasesKristine A Pattin, Jason H Moore
BMC Systems Biology|February 6, 2014
Influence networks based on coexpression improve drug target discovery for the development of novel cancer therapeuticsNadia M Penrod, Jason H Moore
Biodata Mining|May 2, 2018
Improving machine learning reproducibility in genetic association studies with proportional instance cross validation (PICV)Elizabeth R Piette, Jason H Moore
Bioinformatics (Oxford, England)|February 28, 2014
Optimization of gene set annotations via entropy minimization over variable clusters (EMVC)H Robert Frost, Jason H Moore
Biodata Mining|June 19, 2015
Lumping versus splitting: the need for biological data mining in precision medicineScott M Williams, Jason H Moore
Biodata Mining|November 12, 2016
Considerations for higher efficiency and productivity in research activitiesDiego A Forero, Jason H Moore
JAMA|April 8, 2004
STUDENTJAMA. The challenges of whole-genome approaches to common diseasesJason H Moore, Marylyn D Ritchie
Bio Systems|December 4, 2003
Petri net modeling of high-order genetic systems using grammatical evolutionJason H Moore, Lance W Hahn
Oncology Reports|March 10, 2006
Visual analysis of statistical results from microarray studies of human breast cancerDavid M Reif, Jason H Moore
Pageof 54