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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...
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| Main Authors: | , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2012
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3464930/ https://ncbi.nlm.nih.gov/pubmed/22897824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1752-0509-6-104 |
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