The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo

We present a method (the Inferelator) for deriving genome-wide transcriptional regulatory interactions, and apply the method to predict a large portion of the regulatory network of the archaeon Halobacterium NRC-1. The Inferelator uses regression and variable selection to identify transcriptional in...

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Detalles Bibliográficos
Autores principales: Bonneau, Richard, Reiss, David J, Shannon, Paul, Facciotti, Marc, Hood, Leroy, Baliga, Nitin S, Thorsson, Vesteinn
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779511/
https://www.ncbi.nlm.nih.gov/pubmed/16686963
http://dx.doi.org/10.1186/gb-2006-7-5-r36

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1779511/
https://www.ncbi.nlm.nih.gov/pubmed/16686963
http://dx.doi.org/10.1186/gb-2006-7-5-r36

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