Article

Whose sample is it anyway? Widespread misannotation of samples in transcriptomics studies

2016-09-30

Abstract excerpt

Concern about the reproducibility and reliability of biomedical research has been rising. An understudied issue is the prevalence of sample mislabeling, one impact of which would be invalid comparisons. We studied this issue in a corpus of human transcriptomics studies by comparing the provided annotations of sex to the expression levels of sex-specific genes. We identified apparent mislabeled samples in 46% of th...

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Literature Corpus work: 9bc99562-077d-5225-8eb3-412dd5506caf
DOI: 10.12688/f1000research.9471.2

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