Evaluation and improvement of the regulatory inference for large co-expression networks with limited sample size

BACKGROUND: Co-expression has been widely used to identify novel regulatory relationships using high throughput measurements, such as microarray and RNA-seq data. Evaluation studies on co-expression network analysis methods mostly focus on networks of small or medium size of up to a few hundred node...

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Détails bibliographiques
Publié dans:BMC Syst Biol
Auteurs principaux: Guo, Wenbin, Calixto, Cristiane P. G., Tzioutziou, Nikoleta, Lin, Ping, Waugh, Robbie, Brown, John W. S., Zhang, Runxuan
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2017
Sujets:
Methodology Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5477119/
https://ncbi.nlm.nih.gov/pubmed/28629365
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-017-0440-2
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