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