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DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data
BACKGROUND: Modeling dynamic regulatory networks is a major challenge since much of the protein-DNA interaction data available is static. The Dynamic Regulatory Events Miner (DREM) uses a Hidden Markov Model-based approach to integrate this static interaction data with time series gene expression le...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464930/ https://www.ncbi.nlm.nih.gov/pubmed/22897824 http://dx.doi.org/10.1186/1752-0509-6-104 |