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The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo
We present a method (the Inferelator) for deriving genome-wide transcriptional regulatory interactions, and apply the method to predict a large portion of the regulatory network of the archaeon Halobacterium NRC-1. The Inferelator uses regression and variable selection to identify transcriptional in...
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| Main Authors: | , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
BioMed Central
2006
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1779511/ https://ncbi.nlm.nih.gov/pubmed/16686963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2006-7-5-r36 |
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