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