TAGC 2020
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TAGC2020_Poster_MontanaKayLara.pdf (3.45 MB)

Network-based Functional Prediction Augments Genetic Association to Predict Candidate Genes for Inflammatory Bowel Disorder in Mice

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posted on 2020-04-20, 20:45 authored by Montana K. Lara, Karolyn G. Lahue, Alisha A. Linton, Brigitte Lavoie, Qian Fang, Mahalia M. McGill, Jessica W. Crothers, Cory Teuscher, Gary M. Mawe, Anna L. Tyler, J. Matthew Mahoney
Presentation of poster 1357A at TAGC 2020 Online about the predictive potential of network-based machine learning for candidate gene ranking in inflammatory bowel disorder in mice.

Funding

NIH/NINDS R01 NS097596

NIH/NLM R21 LM012615

History

Program Number

1357A

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    TAGC 2020

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    Keywords

    Inflammatory Bowel Disease InflammationInflammatory bowel diseases (IBD)machine Learning Methods Enable Predictive ModelingMachine learningcandidate gene prioritizationFunctional Networks of Tissues in Micegene expressionrank genesDevelopmental Genetics (incl. Sex Determination)Quantitative Genetics (incl. Disease and Trait Mapping Genetics)

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    CC BY 4.0

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