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

Xiaotu Ma

Showing results (1-10 of 153) with videos related to

Pageof 16
Sort By:
Briefings in Bioinformatics|June 22, 2013
Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networksXiaotu Ma, Ting Chen, Fengzhu Sun
Fundamental Research|January 30, 2026
Intratumoral microorganisms and artificial antitumor bacteriaWenna Li, Xiaotu Ma, Xiao Zhao
BMC Systems Biology|June 28, 2008
The effects of protein interactions, gene essentiality and regulatory regions on expression variationLinqi Zhou, Xiaotu Ma, Fengzhu Sun
Gene|December 9, 2008
Evolution of Drosophila ribosomal protein gene core promotersXiaotu Ma, Kangyu Zhang, Xiaoman Li
Biochemical and Biophysical Research Communications|September 14, 2010
Understanding gene essentiality by finely characterizing hubs in the yeast protein interaction networkKaifang Pang, Huanye Sheng, Xiaotu Ma
Journal of Biomedical Informatics|October 10, 2006
Removed: Integrative differential gene expression analysis for cross-platform microarray datasetsFei Pan, Xiaotu Ma, Xianghong Jasmine Zhou
Plos One|July 7, 2012
Bivalent-like chromatin markers are predictive for transcription start site distribution in humanZhihua Zhang, Xiaotu Ma, Michael Q Zhang
Plos One|April 10, 2008
Mapping genetically compensatory pathways from synthetic lethal interactions in yeastXiaotu Ma, Aaron M Tarone, Wenyuan Li
Bioinformatics (Oxford, England)|November 14, 2006
CGI: a new approach for prioritizing genes by combining gene expression and protein-protein interaction dataXiaotu Ma, Hyunju Lee, Li Wang, et al.
Plos One|December 4, 2009
Chromatin regulation and gene centrality are essential for controlling fitness pleiotropy in yeastLinqi Zhou, Xiaotu Ma, Michelle N Arbeitman, et al.
Pageof 16

Showing results (1-10 of 153) with videos related to

Sort By:
Pageof 16
Briefings in Bioinformatics|June 22, 2013
Integrative approaches for predicting protein function and prioritizing genes for complex phenotypes using protein interaction networksXiaotu Ma, Ting Chen, Fengzhu Sun
Fundamental Research|January 30, 2026
Intratumoral microorganisms and artificial antitumor bacteriaWenna Li, Xiaotu Ma, Xiao Zhao
BMC Systems Biology|June 28, 2008
The effects of protein interactions, gene essentiality and regulatory regions on expression variationLinqi Zhou, Xiaotu Ma, Fengzhu Sun
Gene|December 9, 2008
Evolution of Drosophila ribosomal protein gene core promotersXiaotu Ma, Kangyu Zhang, Xiaoman Li
Biochemical and Biophysical Research Communications|September 14, 2010
Understanding gene essentiality by finely characterizing hubs in the yeast protein interaction networkKaifang Pang, Huanye Sheng, Xiaotu Ma
Journal of Biomedical Informatics|October 10, 2006
Removed: Integrative differential gene expression analysis for cross-platform microarray datasetsFei Pan, Xiaotu Ma, Xianghong Jasmine Zhou
Plos One|July 7, 2012
Bivalent-like chromatin markers are predictive for transcription start site distribution in humanZhihua Zhang, Xiaotu Ma, Michael Q Zhang
Plos One|April 10, 2008
Mapping genetically compensatory pathways from synthetic lethal interactions in yeastXiaotu Ma, Aaron M Tarone, Wenyuan Li
Bioinformatics (Oxford, England)|November 14, 2006
CGI: a new approach for prioritizing genes by combining gene expression and protein-protein interaction dataXiaotu Ma, Hyunju Lee, Li Wang, et al.
Plos One|December 4, 2009
Chromatin regulation and gene centrality are essential for controlling fitness pleiotropy in yeastLinqi Zhou, Xiaotu Ma, Michelle N Arbeitman, et al.
Pageof 16