Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA)

Biological and medical sciences are increasingly acknowledging the significance of gene co-expression-networks for investigating complex-systems, phenotypes or diseases. Typically, complex phenotypes are investigated under varying conditions. While approaches for comparing nodes and links in two net...

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Detalles Bibliográficos
Autores principales: Morselli Gysi, Deisy, de Miranda Fragoso, Tiago, Zebardast, Fatemeh, Bertoli, Wesley, Busskamp, Volker, Almaas, Eivind, Nowick, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561188/
https://www.ncbi.nlm.nih.gov/pubmed/33057419
http://dx.doi.org/10.1371/journal.pone.0240523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7561188/
https://www.ncbi.nlm.nih.gov/pubmed/33057419
http://dx.doi.org/10.1371/journal.pone.0240523

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