Establishing glucose- and ABA-regulated transcription networks in Arabidopsis by microarray analysis and promoter classification using a Relevance Vector Machine

Establishing transcriptional regulatory networks by analysis of gene expression data and promoter sequences shows great promise. We developed a novel promoter classification method using a Relevance Vector Machine (RVM) and Bayesian statistical principles to identify discriminatory features in the p...

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Detalhes bibliográficos
Main Authors: Li, Yunhai, Lee, Kee Khoon, Walsh, Sean, Smith, Caroline, Hadingham, Sophie, Sorefan, Karim, Cawley, Gavin, Bevan, Michael W.
Formato: Artigo
Idioma:Inglês
Publicado em: Cold Spring Harbor Laboratory Press 2006
Assuntos:
Methods
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC1415219/
https://ncbi.nlm.nih.gov/pubmed/16424108
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.4237406
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