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John A Bachman

Showing results (1-10 of 18) with videos related to

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Nature Methods|February 1, 2011
New approaches to modeling complex biochemistryJohn A Bachman, Peter Sorger
Proceedings of the National Academy of Sciences of the United States of America|February 7, 2012
Optimizing ring assembly reveals the strength of weak interactionsEric J Deeds, John A Bachman, Walter Fontana
Journal of Open Source Software|April 28, 2020
Adeft: Acromine-based Disambiguation of Entities from Text with applications to the biomedical literatureAlbert Steppi, Benjamin M Gyori, John A Bachman
BMC Bioinformatics|June 30, 2018
FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text miningJohn A Bachman, Benjamin M Gyori, Peter K Sorger
Molecular Systems Biology|March 20, 2023
Automated assembly of molecular mechanisms at scale from text mining and curated databasesJohn A Bachman, Benjamin M Gyori, Peter K Sorger
Elife|February 8, 2021
shinyDepMap, a tool to identify targetable cancer genes and their functional connections from Cancer Dependency Map dataKenichi Shimada, John A Bachman, Jeremy L Muhlich, et al.
Molecular Systems Biology|February 21, 2013
Programming biological models in Python using PySBCarlos F Lopez, Jeremy L Muhlich, John A Bachman, et al.
Bioinformatics (Oxford, England)|May 10, 2019
INDRA-IPM: interactive pathway modeling using natural language with automated assemblyPetar V Todorov, Benjamin M Gyori, John A Bachman, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 14, 2017
Fundamental trade-offs between information flow in single cells and cellular populationsRyan Suderman, John A Bachman, Adam Smith, et al.
Genome Biology|February 2, 2021
GeneWalk identifies relevant gene functions for a biological context using network representation learningRobert Ietswaart, Benjamin M Gyori, John A Bachman, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Nature Methods|February 1, 2011
New approaches to modeling complex biochemistryJohn A Bachman, Peter Sorger
Proceedings of the National Academy of Sciences of the United States of America|February 7, 2012
Optimizing ring assembly reveals the strength of weak interactionsEric J Deeds, John A Bachman, Walter Fontana
Journal of Open Source Software|April 28, 2020
Adeft: Acromine-based Disambiguation of Entities from Text with applications to the biomedical literatureAlbert Steppi, Benjamin M Gyori, John A Bachman
BMC Bioinformatics|June 30, 2018
FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text miningJohn A Bachman, Benjamin M Gyori, Peter K Sorger
Molecular Systems Biology|March 20, 2023
Automated assembly of molecular mechanisms at scale from text mining and curated databasesJohn A Bachman, Benjamin M Gyori, Peter K Sorger
Elife|February 8, 2021
shinyDepMap, a tool to identify targetable cancer genes and their functional connections from Cancer Dependency Map dataKenichi Shimada, John A Bachman, Jeremy L Muhlich, et al.
Molecular Systems Biology|February 21, 2013
Programming biological models in Python using PySBCarlos F Lopez, Jeremy L Muhlich, John A Bachman, et al.
Bioinformatics (Oxford, England)|May 10, 2019
INDRA-IPM: interactive pathway modeling using natural language with automated assemblyPetar V Todorov, Benjamin M Gyori, John A Bachman, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 14, 2017
Fundamental trade-offs between information flow in single cells and cellular populationsRyan Suderman, John A Bachman, Adam Smith, et al.
Genome Biology|February 2, 2021
GeneWalk identifies relevant gene functions for a biological context using network representation learningRobert Ietswaart, Benjamin M Gyori, John A Bachman, et al.
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