Detect tissue heterogeneity in gene expression data with BioQC.

ABSTRACT:

Background

Gene expression data can be compromised by cells originating from other tissues than the target tissue of profiling. Failures in detecting such tissue heterogeneity have profound implications on data interpretation and reproducibility. A computational tool explicitly addressing the issue is warranted.

Results

We introduce BioQC, a R/Bioconductor software package to detect tissue heterogeneity in gene expression data. To this end BioQC implements a computationally efficient Wilcoxon-Mann-Whitney test and provides more than 150 signatures of tissue-enriched genes derived from large-scale transcriptomics studies. Simulation experiments show that BioQC is both fast and sensitive in detecting tissue heterogeneity. In a case study with whole-organ profiling data, BioQC

SUBMITTER: Zhang JD 

PROVIDER: S-EPMC5379536 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature