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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,...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2009
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| 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 |