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

Galina Glazko

Showing results (1-10 of 39) with videos related to

Pageof 4
Sort By:
Biology Direct|August 10, 2010
Measuring gene expression divergence: the distance to keepGalina Glazko, Arcady Mushegian
BMC Bioinformatics|April 14, 2025
Improving data interpretability with new differential sample variance gene set testsYasir Rahmatallah, Galina Glazko
Research Square|September 24, 2024
Improving data interpretability with new differential sample variance gene set testsYasir Rahmatallah, Galina Glazko
Biology Direct|June 1, 2006
Similarity searches in genome-wide numerical data setsGalina Glazko, Michael Coleman, Arcady Mushegian
Bioinformatics (Oxford, England)|December 10, 2009
A new gene selection procedure based on the covariance distanceRui Hu, Xing Qiu, Galina Glazko
Virus Research|February 24, 2006
Protein repertoire of double-stranded DNA bacteriophagesJing Liu, Galina Glazko, Arcady Mushegian
Bioinformatics (Oxford, England)|November 25, 2005
The choice of optimal distance measure in genome-wide datasetsGalina Glazko, Alexander Gordon, Arcady Mushegian
Bioinformatics (Oxford, England)|December 3, 2013
Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene setsYasir Rahmatallah, Frank Emmert-Streib, Galina Glazko
Briefings in Bioinformatics|September 6, 2015
Gene set analysis approaches for RNA-seq data: performance evaluation and application guidelineYasir Rahmatallah, Frank Emmert-Streib, Galina Glazko
BMC Bioinformatics|December 6, 2014
Comparative evaluation of gene set analysis approaches for RNA-Seq dataYasir Rahmatallah, Frank Emmert-Streib, Galina Glazko
Pageof 4

Showing results (1-10 of 39) with videos related to

Sort By:
Pageof 4
Biology Direct|August 10, 2010
Measuring gene expression divergence: the distance to keepGalina Glazko, Arcady Mushegian
BMC Bioinformatics|April 14, 2025
Improving data interpretability with new differential sample variance gene set testsYasir Rahmatallah, Galina Glazko
Research Square|September 24, 2024
Improving data interpretability with new differential sample variance gene set testsYasir Rahmatallah, Galina Glazko
Biology Direct|June 1, 2006
Similarity searches in genome-wide numerical data setsGalina Glazko, Michael Coleman, Arcady Mushegian
Bioinformatics (Oxford, England)|December 10, 2009
A new gene selection procedure based on the covariance distanceRui Hu, Xing Qiu, Galina Glazko
Virus Research|February 24, 2006
Protein repertoire of double-stranded DNA bacteriophagesJing Liu, Galina Glazko, Arcady Mushegian
Bioinformatics (Oxford, England)|November 25, 2005
The choice of optimal distance measure in genome-wide datasetsGalina Glazko, Alexander Gordon, Arcady Mushegian
Bioinformatics (Oxford, England)|December 3, 2013
Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene setsYasir Rahmatallah, Frank Emmert-Streib, Galina Glazko
Briefings in Bioinformatics|September 6, 2015
Gene set analysis approaches for RNA-seq data: performance evaluation and application guidelineYasir Rahmatallah, Frank Emmert-Streib, Galina Glazko
BMC Bioinformatics|December 6, 2014
Comparative evaluation of gene set analysis approaches for RNA-Seq dataYasir Rahmatallah, Frank Emmert-Streib, Galina Glazko
Pageof 4