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

Kayla A Johnson

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Genome Biology|January 4, 2022
Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq dataKayla A Johnson, Arjun Krishnan
Plos Computational Biology|January 10, 2024
Joint representation of molecular networks from multiple species improves gene classificationChristopher A Mancuso, Kayla A Johnson, Renming Liu, et al.
Bioinformatics (Oxford, England)|March 5, 2020
Supervised learning is an accurate method for network-based gene classificationRenming Liu, Christopher A Mancuso, Anna Yannakopoulos, et al.
Briefings in Bioinformatics|December 22, 2024
Annotating publicly-available samples and studies using interpretable modeling of unstructured metadataHao Yuan, Parker Hicks, Mansooreh Ahmadian, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Genome Biology|January 4, 2022
Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq dataKayla A Johnson, Arjun Krishnan
Plos Computational Biology|January 10, 2024
Joint representation of molecular networks from multiple species improves gene classificationChristopher A Mancuso, Kayla A Johnson, Renming Liu, et al.
Bioinformatics (Oxford, England)|March 5, 2020
Supervised learning is an accurate method for network-based gene classificationRenming Liu, Christopher A Mancuso, Anna Yannakopoulos, et al.
Briefings in Bioinformatics|December 22, 2024
Annotating publicly-available samples and studies using interpretable modeling of unstructured metadataHao Yuan, Parker Hicks, Mansooreh Ahmadian, et al.
Pageof 1