Improving the value of public RNA-seq expression data by phenotype prediction.

Abstract excerpt

Publicly available genomic data are a valuable resource for studying normal human variation and disease, but these data are often not well labeled or annotated. The lack of phenotype information for public genomic data severely limits their utility for addressing targeted biological questions. We develop an in silico phenotyping approach for predicting critical missing annotation directly from genomic...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Computer Simulation
• Share to Gene Expression Profiling
• Share to Phenotype