Whose sample is it anyway? Widespread misannotation of samples in transcriptomics studies [version 1; referees: 2 approved]

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 anno...

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Bibliographic Details
Main Authors: Lilah Toker, Min Feng, Paul Pavlidis
Format: Article
Language:English
Published: F1000 Research Ltd 2016-08-01
Series:F1000Research
Subjects:
Online Access:http://f1000research.com/articles/5-2103/v1