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Identification of Yeast Transcriptional Regulation Networks Using Multivariate Random Forests

The recent availability of whole-genome scale data sets that investigate complementary and diverse aspects of transcriptional regulation has spawned an increased need for new and effective computational approaches to analyze and integrate these large scale assays. Here, we propose a novel algorithm,...

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Detalles Bibliográficos
Autores principales: Xiao, Yuanyuan, Segal, Mark R.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2691601/
https://www.ncbi.nlm.nih.gov/pubmed/19543377
http://dx.doi.org/10.1371/journal.pcbi.1000414

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