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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164482/
https://www.ncbi.nlm.nih.gov/pubmed/34051754
http://dx.doi.org/10.1186/s12859-021-04197-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164482/
https://www.ncbi.nlm.nih.gov/pubmed/34051754
http://dx.doi.org/10.1186/s12859-021-04197-2

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