Hypergraph models of biological networks to identify genes critical to pathogenic viral response

BACKGROUND: Representing biological networks as graphs is a powerful approach to reveal underlying patterns, signatures, and critical components from high-throughput biomolecular data. However, graphs do not natively capture the multi-way relationships present among genes and proteins in biological...

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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Feng, Song, Heath, Emily, Jefferson, Brett, Joslyn, Cliff, Kvinge, Henry, Mitchell, Hugh D., Praggastis, Brenda, Eisfeld, Amie J., Sims, Amy C., Thackray, Larissa B., Fan, Shufang, Walters, Kevin B., Halfmann, Peter J., Westhoff-Smith, Danielle, Tan, Qing, Menachery, Vineet D., Sheahan, Timothy P., Cockrell, Adam S., Kocher, Jacob F., Stratton, Kelly G., Heller, Natalie C., Bramer, Lisa M., Diamond, Michael S., Baric, Ralph S., Waters, Katrina M., Kawaoka, Yoshihiro, McDermott, Jason E., Purvine, Emilie
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2021
Assuntos:
Methodology Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8164482/
https://ncbi.nlm.nih.gov/pubmed/34051754
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04197-2
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