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

Maxwell W Libbrecht

Showing results (11-20 of 22) with videos related to

Pageof 3
Sort By:
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 27, 2021
Latent Representation of the Human Pan-Celltype Epigenome Through a Deep Recurrent Neural NetworkKevin B Dsouza, Adam Y Li, Vijay K Bhargava, et al.
Nature Reviews. Genetics|October 3, 2022
Obtaining genetics insights from deep learning via explainable artificial intelligenceGherman Novakovsky, Nick Dexter, Maxwell W Libbrecht, et al.
Bioinformatics (Oxford, England)|April 22, 2022
Continuous chromatin state feature annotation of the human epigenomeHabib Daneshpajouh, Bowen Chen, Neda Shokraneh, et al.
Nature Communications|April 13, 2018
PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor DecompositionTimothy J Durham, Maxwell W Libbrecht, J Jeffry Howbert, et al.
Nature Communications|June 28, 2022
Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of conformationKevin B Dsouza, Alexandra Maslova, Ediem Al-Jibury, et al.
Genome Research|February 14, 2015
Joint annotation of chromatin state and chromatin conformation reveals relationships among domain types and identifies domains of cell-type-specific expressionMaxwell W Libbrecht, Ferhat Ay, Michael M Hoffman, et al.
Genome Biology|August 30, 2019
A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell typesMaxwell W Libbrecht, Oscar L Rodriguez, Zhiping Weng, et al.
Bioinformatics (Oxford, England)|October 14, 2017
Segway 2.0: Gaussian mixture models and minibatch trainingRachel C W Chan, Maxwell W Libbrecht, Eric G Roberts, et al.
IEEE Transactions on Medical Imaging|May 27, 2022
DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance LearningM Sadegh Saberian, Kathleen P Moriarty, Andrea D Olmstead, et al.
Genome Research|October 6, 2025
Integrative chromatin state annotation of 234 human ENCODE4 cell types using SegwayMarjan Farahbod, Aboud Diab, Paul Sud, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
IEEE/ACM Transactions on Computational Biology and Bioinformatics|May 27, 2021
Latent Representation of the Human Pan-Celltype Epigenome Through a Deep Recurrent Neural NetworkKevin B Dsouza, Adam Y Li, Vijay K Bhargava, et al.
Nature Reviews. Genetics|October 3, 2022
Obtaining genetics insights from deep learning via explainable artificial intelligenceGherman Novakovsky, Nick Dexter, Maxwell W Libbrecht, et al.
Bioinformatics (Oxford, England)|April 22, 2022
Continuous chromatin state feature annotation of the human epigenomeHabib Daneshpajouh, Bowen Chen, Neda Shokraneh, et al.
Nature Communications|April 13, 2018
PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor DecompositionTimothy J Durham, Maxwell W Libbrecht, J Jeffry Howbert, et al.
Nature Communications|June 28, 2022
Learning representations of chromatin contacts using a recurrent neural network identifies genomic drivers of conformationKevin B Dsouza, Alexandra Maslova, Ediem Al-Jibury, et al.
Genome Research|February 14, 2015
Joint annotation of chromatin state and chromatin conformation reveals relationships among domain types and identifies domains of cell-type-specific expressionMaxwell W Libbrecht, Ferhat Ay, Michael M Hoffman, et al.
Genome Biology|August 30, 2019
A unified encyclopedia of human functional DNA elements through fully automated annotation of 164 human cell typesMaxwell W Libbrecht, Oscar L Rodriguez, Zhiping Weng, et al.
Bioinformatics (Oxford, England)|October 14, 2017
Segway 2.0: Gaussian mixture models and minibatch trainingRachel C W Chan, Maxwell W Libbrecht, Eric G Roberts, et al.
IEEE Transactions on Medical Imaging|May 27, 2022
DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance LearningM Sadegh Saberian, Kathleen P Moriarty, Andrea D Olmstead, et al.
Genome Research|October 6, 2025
Integrative chromatin state annotation of 234 human ENCODE4 cell types using SegwayMarjan Farahbod, Aboud Diab, Paul Sud, et al.
Pageof 3