Inferring gene regulatory networks from asynchronous microarray data with AIRnet

BACKGROUND: Modern approaches to treating genetic disorders, cancers and even epidemics rely on a detailed understanding of the underlying gene signaling network. Previous work has used time series microarray data to infer gene signaling networks given a large number of accurate time series samples....

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Detalles Bibliográficos
Autores principales: Oviatt, David, Clement, Mark, Snell, Quinn, Sundberg, Kenneth, Lai, Chun Wan J, Allen, Jared, Roper, Randall
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2975420/
https://www.ncbi.nlm.nih.gov/pubmed/21047387
http://dx.doi.org/10.1186/1471-2164-11-S2-S6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2975420/
https://www.ncbi.nlm.nih.gov/pubmed/21047387
http://dx.doi.org/10.1186/1471-2164-11-S2-S6

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