NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference
Reconstruction of gene regulatory networks (GRNs) is of utmost interest to biologists and is vital for understanding the complex regulatory mechanisms within the cell. Despite various methods developed for reconstruction of GRNs from gene expression profiles, they are notorious for high false positi...
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Veröffentlicht in: | Bioinformatics 2013-01, Vol.29 (1), p.106-113 |
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Sprache: | eng |
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