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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...
| Autores principales: | , , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| 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 |