Joint analysis of expression levels and histological images identifies genes associated with tissue morphology

Abstract

Image features from histological slides can be used as informative endophenotypes in association studies for tissue-localized pathologies. Here, the authors develop ImageCCA, a framework for joint analysis of paired gene expression and histology data derived from automatically extracted image features.