01946nas a2200337   4500008004100000022001400041245010400055210006900159260001300228300001100241490000700252520087500259653002101134653002601155653002301181653001101204653003001215653001101245653002701256653002601283653001401309100001601323700001601339700002901355700002501384700001801409700002001427700002001447700002001467856012101487       2008                        eng d  a1089-864600aDirect functional assessment of the composite phenotype through multivariate projection strategies.0 aDirect functional assessment of the composite phenotype through   c2008 Dec  a373-830 v923 a<p>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.</p>10aBreast Neoplasms10aComputational Biology10aDatabases, Genetic10aFemale10aGene Expression Profiling10aHumans10aMathematical Computing10aMultivariate Analysis10aPhenotype1 aConesa, Ana1 aBro, Rasmus1 aGarcia-Garcia, Francisco1 aPrats, José, Manuel1 aGötz, Stefan1 aKjeldahl, Karin1 aMontaner, David1 aDopazo, Joaquin  uhttp://clinbioinfosspa.es/content/direct-functional-assessment-composite-phenotype-through-multivariate-projection-0