Molecular phenotypic portraits - Exploring the #x2018;OMES#x2019; with individual resolution

摘要

Self organizing maps (SOMs) portrait molecular phenotypes with individual resolution. We demonstrate the potency of the method in selected applications characterizing the diversity of gene expression in different tissues and cancer subtypes, mRNA and miRNA fingerprints of stem cells, the proteome landscape of algae and genomic relations between humans from different populations. It is further shown that SOM portraiting provides a comprehensive frame to describe development, differentiation and diversity in space and/or time.