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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of Arabidopsis treated with sugars (glucose, mannose) and abcissic acid

ABSTRACT: The aim of the experiment is to determine sugar and ABA responsive gene expression in Arabidopsis.

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: james hadfield

PROVIDER: E-MEXP-475 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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

Li Yunhai Y Lee Kee Khoon KK Walsh Sean S Smith Caroline C Hadingham Sophie S Sorefan Karim K Cawley Gavin G Bevan Michael W MW

Genome research 20060119 3

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 promoter sequences of genes that can correctly classify transcriptional responses. The method was applied to microarray data obtained from Arabidopsis seedlings treated with glucose or abscisic acid (A ...[more]

PMID: 16424108

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