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

Donald Geman

Showing results (31-40 of 44) with videos related to

Pageof 5
Sort By:
Bioinformatics (Oxford, England)|September 1, 2005
Robust prostate cancer marker genes emerge from direct integration of inter-study microarray dataLei Xu, Aik Choon Tan, Daniel Q Naiman, et al.
Plos One|October 21, 2014
Measuring the effect of inter-study variability on estimating prediction errorShuyi Ma, Jaeyun Sung, Andrew T Magis, et al.
BMC Bioinformatics|August 22, 2009
The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutationsXue Lin, Bahman Afsari, Luigi Marchionni, et al.
Biorxiv : the Preprint Server for Biology|June 29, 2023
CellCover Captures Neural Stem Cell Progression in Mammalian Neocortical DevelopmentLanlan Ji, An Wang, Shreyash Sonthalia, et al.
Metabolites|January 5, 2021
Identifying Personalized Metabolic Signatures in Breast CancerPriyanka Baloni, Wikum Dinalankara, John C Earls, et al.
Proteomics|March 17, 2007
Discovering robust protein biomarkers for disease from relative expression reversals in 2-D DIGE dataTroy J Anderson, Irina Tchernyshyov, Roberto Diez, et al.
Iscience|February 28, 2023
Using biological constraints to improve prediction in precision oncologyMohamed Omar, Wikum Dinalankara, Lotte Mulder, et al.
Plos Computational Biology|August 13, 2013
Multi-study integration of brain cancer transcriptomes reveals organ-level molecular signaturesJaeyun Sung, Pan-Jun Kim, Shuyi Ma, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 29, 2019
Revisiting the tumorigenesis timeline with a data-driven generative modelKamel Lahouel, Laurent Younes, Ludmila Danilova, et al.
Nature Reviews. Genetics|September 15, 2010
Tackling the widespread and critical impact of batch effects in high-throughput dataJeffrey T Leek, Robert B Scharpf, Héctor Corrada Bravo, et al.
Pageof 5

Showing results (31-40 of 44) with videos related to

Sort By:
Pageof 5
Bioinformatics (Oxford, England)|September 1, 2005
Robust prostate cancer marker genes emerge from direct integration of inter-study microarray dataLei Xu, Aik Choon Tan, Daniel Q Naiman, et al.
Plos One|October 21, 2014
Measuring the effect of inter-study variability on estimating prediction errorShuyi Ma, Jaeyun Sung, Andrew T Magis, et al.
BMC Bioinformatics|August 22, 2009
The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutationsXue Lin, Bahman Afsari, Luigi Marchionni, et al.
Biorxiv : the Preprint Server for Biology|June 29, 2023
CellCover Captures Neural Stem Cell Progression in Mammalian Neocortical DevelopmentLanlan Ji, An Wang, Shreyash Sonthalia, et al.
Metabolites|January 5, 2021
Identifying Personalized Metabolic Signatures in Breast CancerPriyanka Baloni, Wikum Dinalankara, John C Earls, et al.
Proteomics|March 17, 2007
Discovering robust protein biomarkers for disease from relative expression reversals in 2-D DIGE dataTroy J Anderson, Irina Tchernyshyov, Roberto Diez, et al.
Iscience|February 28, 2023
Using biological constraints to improve prediction in precision oncologyMohamed Omar, Wikum Dinalankara, Lotte Mulder, et al.
Plos Computational Biology|August 13, 2013
Multi-study integration of brain cancer transcriptomes reveals organ-level molecular signaturesJaeyun Sung, Pan-Jun Kim, Shuyi Ma, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 29, 2019
Revisiting the tumorigenesis timeline with a data-driven generative modelKamel Lahouel, Laurent Younes, Ludmila Danilova, et al.
Nature Reviews. Genetics|September 15, 2010
Tackling the widespread and critical impact of batch effects in high-throughput dataJeffrey T Leek, Robert B Scharpf, Héctor Corrada Bravo, et al.
Pageof 5