Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis. - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Bioinformatics Année : 2003

Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis.

Jean-Philippe Vert
A. Nakaya
  • Fonction : Auteur

Résumé

MOTIVATION: A major issue in computational biology is the reconstruction of pathways from several genomic datasets, such as expression data, protein interaction data and phylogenetic profiles. As a first step toward this goal, it is important to investigate the amount of correlation which exists between these data. RESULTS: These methods are successfully tested on their ability to recognize operons in the Escherichia coli genome, from the comparison of three datasets corresponding to functional relationships between genes in metabolic pathways, geometrical relationships along the chromosome, and co-expression relationships as observed by gene expression data.
Fichier non déposé

Dates et versions

hal-00433589 , version 1 (20-11-2009)

Identifiants

  • HAL Id : hal-00433589 , version 1
  • PUBMED : 12855477

Citer

Y. Yamanishi, Jean-Philippe Vert, A. Nakaya, M. Kanehisa. Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis.. Bioinformatics, 2003, 19 Suppl 1, pp.i323-30. ⟨hal-00433589⟩
103 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More