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Supervised, semi-supervised and unsupervised inference of gene regulatory networks
Inference of gene regulatory network from expression data is a challenging task. Many methods have been developed to this purpose but a comprehensive evaluation that covers unsupervised, semi-supervised and supervised methods, and provides guidelines for their practical application, is lacking. We p...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2014
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3956069/ https://ncbi.nlm.nih.gov/pubmed/23698722 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbt034 |
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