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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Detalles Bibliográficos
Autores principales: Maetschke, Stefan R., Madhamshettiwar, Piyush B., Davis, Melissa J., Ragan, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3956069/
https://www.ncbi.nlm.nih.gov/pubmed/23698722
http://dx.doi.org/10.1093/bib/bbt034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3956069/
https://www.ncbi.nlm.nih.gov/pubmed/23698722
http://dx.doi.org/10.1093/bib/bbt034

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