Nonparametric identification of regulatory interactions from spatial and temporal gene expression data

BACKGROUND: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but current methods are limited in their ability to make correct predictions. RESULTS: Here we describe a novel approach whic...

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Detalles Bibliográficos
Autores principales: Aswani, Anil, Keränen, Soile VE, Brown, James, Fowlkes, Charless C, Knowles, David W, Biggin, Mark D, Bickel, Peter, Tomlin, Claire J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2933715/
https://www.ncbi.nlm.nih.gov/pubmed/20684787
http://dx.doi.org/10.1186/1471-2105-11-413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2933715/
https://www.ncbi.nlm.nih.gov/pubmed/20684787
http://dx.doi.org/10.1186/1471-2105-11-413

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