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Learning gene regulatory networks from only positive and unlabeled data

BACKGROUND: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled as a binary classification problem for each pair of genes. A statistical classifier is trained to recognize the relation...

Disgrifiad llawn

Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awduron: Cerulo, Luigi, Elkan, Charles, Ceccarelli, Michele
Fformat: Artigo
Iaith:Inglês
Cyhoeddwyd: BioMed Central 2010
Pynciau:
Mynediad Ar-lein:https://ncbi.nlm.nih.gov/pmc/articles/PMC2887423/
https://ncbi.nlm.nih.gov/pubmed/20444264
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-228
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