PHOCOS: inferring multi-feature phenotypic crosstalk networks

Motivation: Quantification of cellular changes to perturbations can provide a powerful approach to infer crosstalk among molecular components in biological networks. Existing crosstalk inference methods conduct network-structure learning based on a single phenotypic feature (e.g. abundance) of a bio...

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Detalles Bibliográficos
Autores principales: Deng, Yue, Altschuler, Steven J., Wu, Lani F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Ismb 2016 Proceedings July 8 to July 12, 2016, Orlando, Florida
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908335/
https://www.ncbi.nlm.nih.gov/pubmed/27307643
http://dx.doi.org/10.1093/bioinformatics/btw251

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4908335/
https://www.ncbi.nlm.nih.gov/pubmed/27307643
http://dx.doi.org/10.1093/bioinformatics/btw251

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