Detect tissue heterogeneity in gene expression data with BioQC.

Jitao David ZhangKlas HatjeGregor SturmClemens BrogerMartin EbelingMartine BurtinFabiola TerziSilvia Ines PomposielloLaura Badi

Published in: BMC genomics (2017)

Our experience with gene expression data indicates a prevalence of tissue heterogeneity that often goes unnoticed. BioQC addresses the issue by integrating prior knowledge with a scalable algorithm. We propose BioQC as a first-line tool to ensure quality and reproducibility of gene expression data.

Keyphrases

gene expression
dna methylation
electronic health record
big data
single cell
machine learning
healthcare
risk factors
deep learning
data analysis
quality improvement