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

Georg K Gerber

Showing results (1-10 of 43) with videos related to

Pageof 5
Sort By:
FEBS Letters|March 4, 2014
The dynamic microbiomeGeorg K Gerber
Cell Host & Microbe|August 15, 2024
AI in microbiome research: Where have we been, where are we going?Georg K Gerber
Microbiome|December 9, 2025
MMETHANE: interpretable AI for predicting host status from microbial composition and metabolomics dataJennifer J Dawkins, Georg K Gerber
Biorxiv : the Preprint Server for Biology|December 23, 2024
MMETHANE: interpretable AI for predicting host status from microbial composition and metabolomics dataJennifer J Dawkins, Georg K Gerber
Genome Biology|September 4, 2019
MITRE: inferring features from microbiota time-series data linked to host statusElijah Bogart, Richard Creswell, Georg K Gerber
Plos Computational Biology|August 10, 2012
Inferring dynamic signatures of microbes in complex host ecosystemsGeorg K Gerber, Andrew B Onderdonk, Lynn Bry
Msystems|September 7, 2022
MDITRE: Scalable and Interpretable Machine Learning for Predicting Host Status from Temporal Microbiome DynamicsVenkata Suhas Maringanti, Vanni Bucci, Georg K Gerber
Plos Computational Biology|August 19, 2007
Automated discovery of functional generality of human gene expression programsGeorg K Gerber, Robin D Dowell, Tommi S Jaakkola, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 26, 2003
Continuous representations of time-series gene expression dataZiv Bar-Joseph, Georg K Gerber, David K Gifford, et al.
Digestive Diseases and Sciences|November 1, 2019
Clinical Predictors of Recurrence After Primary Clostridioides difficile Infection: A Prospective Cohort StudyJessica R Allegretti, Jenna Marcus, Margaret Storm, et al.
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
FEBS Letters|March 4, 2014
The dynamic microbiomeGeorg K Gerber
Cell Host & Microbe|August 15, 2024
AI in microbiome research: Where have we been, where are we going?Georg K Gerber
Microbiome|December 9, 2025
MMETHANE: interpretable AI for predicting host status from microbial composition and metabolomics dataJennifer J Dawkins, Georg K Gerber
Biorxiv : the Preprint Server for Biology|December 23, 2024
MMETHANE: interpretable AI for predicting host status from microbial composition and metabolomics dataJennifer J Dawkins, Georg K Gerber
Genome Biology|September 4, 2019
MITRE: inferring features from microbiota time-series data linked to host statusElijah Bogart, Richard Creswell, Georg K Gerber
Plos Computational Biology|August 10, 2012
Inferring dynamic signatures of microbes in complex host ecosystemsGeorg K Gerber, Andrew B Onderdonk, Lynn Bry
Msystems|September 7, 2022
MDITRE: Scalable and Interpretable Machine Learning for Predicting Host Status from Temporal Microbiome DynamicsVenkata Suhas Maringanti, Vanni Bucci, Georg K Gerber
Plos Computational Biology|August 19, 2007
Automated discovery of functional generality of human gene expression programsGeorg K Gerber, Robin D Dowell, Tommi S Jaakkola, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|August 26, 2003
Continuous representations of time-series gene expression dataZiv Bar-Joseph, Georg K Gerber, David K Gifford, et al.
Digestive Diseases and Sciences|November 1, 2019
Clinical Predictors of Recurrence After Primary Clostridioides difficile Infection: A Prospective Cohort StudyJessica R Allegretti, Jenna Marcus, Margaret Storm, et al.
Pageof 5