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Anthony Gitter

Showing results (21-30 of 61) with videos related to

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Cell Reports|February 9, 2022
Network inference with Granger causality ensembles on single-cell transcriptomicsAtul Deshpande, Li-Fang Chu, Ron Stewart, et al.
Genome Research|October 16, 2012
Linking the signaling cascades and dynamic regulatory networks controlling stress responsesAnthony Gitter, Miri Carmi, Naama Barkai, et al.
Nucleic Acids Research|November 27, 2010
Discovering pathways by orienting edges in protein interaction networksAnthony Gitter, Judith Klein-Seetharaman, Anupam Gupta, et al.
Bioinformatics (Oxford, England)|October 4, 2025
MPAC: a computational framework for inferring pathway activities from multi-omic dataPeng Liu, David Page, Paul Ahlquist, et al.
Biorxiv : the Preprint Server for Biology|July 1, 2024
MPAC: a computational framework for inferring pathway activities from multi-omic dataPeng Liu, David Page, Paul Ahlquist, et al.
Journal of Biophotonics|October 30, 2019
Classifying T cell activity in autofluorescence intensity images with convolutional neural networksZijie J Wang, Alex J Walsh, Melissa C Skala, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 24, 2021
Neural networks to learn protein sequence-function relationships from deep mutational scanning dataSam Gelman, Sarah A Fahlberg, Pete Heinzelman, et al.
Journal of Chemical Information and Modeling|September 14, 2019
Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random ForestsJesse G Meyer, Shengchao Liu, Ian J Miller, et al.
Bioinformatics (Oxford, England)|June 27, 2022
An approachable, flexible and practical machine learning workshop for biologistsChris S Magnano, Fangzhou Mu, Rosemary S Russ, et al.
Molecular Systems Biology|June 19, 2009
Backup in gene regulatory networks explains differences between binding and knockout resultsAnthony Gitter, Zehava Siegfried, Michael Klutstein, et al.
Pageof 7

Showing results (21-30 of 61) with videos related to

Sort By:
Pageof 7
Cell Reports|February 9, 2022
Network inference with Granger causality ensembles on single-cell transcriptomicsAtul Deshpande, Li-Fang Chu, Ron Stewart, et al.
Genome Research|October 16, 2012
Linking the signaling cascades and dynamic regulatory networks controlling stress responsesAnthony Gitter, Miri Carmi, Naama Barkai, et al.
Nucleic Acids Research|November 27, 2010
Discovering pathways by orienting edges in protein interaction networksAnthony Gitter, Judith Klein-Seetharaman, Anupam Gupta, et al.
Bioinformatics (Oxford, England)|October 4, 2025
MPAC: a computational framework for inferring pathway activities from multi-omic dataPeng Liu, David Page, Paul Ahlquist, et al.
Biorxiv : the Preprint Server for Biology|July 1, 2024
MPAC: a computational framework for inferring pathway activities from multi-omic dataPeng Liu, David Page, Paul Ahlquist, et al.
Journal of Biophotonics|October 30, 2019
Classifying T cell activity in autofluorescence intensity images with convolutional neural networksZijie J Wang, Alex J Walsh, Melissa C Skala, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 24, 2021
Neural networks to learn protein sequence-function relationships from deep mutational scanning dataSam Gelman, Sarah A Fahlberg, Pete Heinzelman, et al.
Journal of Chemical Information and Modeling|September 14, 2019
Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random ForestsJesse G Meyer, Shengchao Liu, Ian J Miller, et al.
Bioinformatics (Oxford, England)|June 27, 2022
An approachable, flexible and practical machine learning workshop for biologistsChris S Magnano, Fangzhou Mu, Rosemary S Russ, et al.
Molecular Systems Biology|June 19, 2009
Backup in gene regulatory networks explains differences between binding and knockout resultsAnthony Gitter, Zehava Siegfried, Michael Klutstein, et al.
Pageof 7