Predicting viral exposure response from modeling the changes of co-expression networks using time series gene expression data

BACKGROUND: Deciphering the relationship between clinical responses and gene expression profiles may shed light on the mechanisms underlying diseases. Most existing literature has focused on exploring such relationship from cross-sectional gene expression data. It is likely that the dynamic nature o...

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Detalles Bibliográficos
Autores principales: Dong, Fangli, He, Yong, Wang, Tao, Han, Dong, Lu, Hui, Zhao, Hongyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7449007/
https://www.ncbi.nlm.nih.gov/pubmed/32842958
http://dx.doi.org/10.1186/s12859-020-03705-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7449007/
https://www.ncbi.nlm.nih.gov/pubmed/32842958
http://dx.doi.org/10.1186/s12859-020-03705-0

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