Unified feature association networks through integration of transcriptomic and proteomic data

High-throughput multi-omics studies and corresponding network analyses of multi-omic data have rapidly expanded their impact over the last 10 years. As biological features of different types (e.g. transcripts, proteins, metabolites) interact within cellular systems, the greatest amount of knowledge...

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Detalles Bibliográficos
Autores principales: McClure, Ryan S., Wendler, Jason P., Adkins, Joshua N., Swanstrom, Jesica, Baric, Ralph, Kaiser, Brooke L. Deatherage, Oxford, Kristie L., Waters, Katrina M., McDermott, Jason E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6748406/
https://www.ncbi.nlm.nih.gov/pubmed/31527878
http://dx.doi.org/10.1371/journal.pcbi.1007241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6748406/
https://www.ncbi.nlm.nih.gov/pubmed/31527878
http://dx.doi.org/10.1371/journal.pcbi.1007241

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