TimeXNet: Identifying active gene sub-networks using time-course gene expression profiles

BACKGROUND: Time-course gene expression profiles are frequently used to provide insight into the changes in cellular state over time and to infer the molecular pathways involved. When combined with large-scale molecular interaction networks, such data can provide information about the dynamics of ce...

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Detalles Bibliográficos
Autores principales: Patil, Ashwini, Nakai, Kenta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4290689/
https://www.ncbi.nlm.nih.gov/pubmed/25522063
http://dx.doi.org/10.1186/1752-0509-8-S4-S2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4290689/
https://www.ncbi.nlm.nih.gov/pubmed/25522063
http://dx.doi.org/10.1186/1752-0509-8-S4-S2

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