Metrics to estimate differential co-expression networks

BACKGROUND: Detecting the differences in gene expression data is important for understanding the underlying molecular mechanisms. Although the differentially expressed genes are a large component, differences in correlation are becoming an interesting approach to achieving deeper insights. However,...

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Detalles Bibliográficos
Autores principales: Gonzalez-Valbuena, Elpidio-Emmanuel, Treviño, Víctor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5681815/
https://www.ncbi.nlm.nih.gov/pubmed/29151892
http://dx.doi.org/10.1186/s13040-017-0152-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5681815/
https://www.ncbi.nlm.nih.gov/pubmed/29151892
http://dx.doi.org/10.1186/s13040-017-0152-6

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