Peax: interactive visual analysis and exploration of complex clinical phenotype and gene expression association.

ABSTRACT: Increasing availability of high-dimensional clinical data, which improves the ability to define more specific phenotypes, as well as molecular data, which can elucidate disease mechanisms, is a driving force and at the same time a major challenge for translational and personalized medicine. Successful research in this field requires an approach that ties together specific disease and health expertise with understanding of molecular data through statistical methods. We present PEAX (Phenotype-Expression Association eXplorer), built upon open-source software, which integrates visual phenotype model definition with statistical testing of expression data presented concurrently in a web-browser. The integration of data and analysis tasks in a single tool allows clinical domain experts to obtain

SUBMITTER: Hinterberg MA 

PROVIDER: S-EPMC4344826 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature