Inferring interaction type in gene regulatory networks using co-expression data

BACKGROUND: Knowledge of interaction types in biological networks is important for understanding the functional organization of the cell. Currently information-based approaches are widely used for inferring gene regulatory interactions from genomics data, such as gene expression profiles; however, t...

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Detalles Bibliográficos
Autores principales: Khosravi, Pegah, Gazestani, Vahid H, Pirhaji, Leila, Law, Brian, Sadeghi, Mehdi, Goliaei, Bahram, Bader, Gary D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495944/
https://www.ncbi.nlm.nih.gov/pubmed/26157474
http://dx.doi.org/10.1186/s13015-015-0054-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4495944/
https://www.ncbi.nlm.nih.gov/pubmed/26157474
http://dx.doi.org/10.1186/s13015-015-0054-4

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