TY - JOUR T1 - Direct functional assessment of the composite phenotype through multivariate projection strategies. JF - Genomics Y1 - 2008 A1 - Conesa, Ana A1 - Bro, Rasmus A1 - Garcia-Garcia, Francisco A1 - Prats, José Manuel A1 - Götz, Stefan A1 - Kjeldahl, Karin A1 - Montaner, David A1 - Dopazo, Joaquin KW - Breast Neoplasms KW - Computational Biology KW - Databases, Genetic KW - Female KW - Gene Expression Profiling KW - Humans KW - Mathematical Computing KW - Multivariate Analysis KW - Phenotype AB -

We present a novel approach for the analysis of transcriptomics data that integrates functional annotation of gene sets with expression values in a multivariate fashion, and directly assesses the relation of functional features to a multivariate space of response phenotypical variables. Multivariate projection methods are used to obtain new correlated variables for a set of genes that share a given function. These new functional variables are then related to the response variables of interest. The analysis of the principal directions of the multivariate regression allows for the identification of gene function features correlated with the phenotype. Two different transcriptomics studies are used to illustrate the statistical and interpretative aspects of the methodology. We demonstrate the superiority of the proposed method over equivalent approaches.

VL - 92 IS - 6 U1 - https://www.ncbi.nlm.nih.gov/pubmed/18652888?dopt=Abstract ER -