Non-biological variation in the results of biological experiments
In molecular biology, a batch effect occurs when non-biological factors in an experiment cause changes in the data produced by the experiment. Such effects can lead to inaccurate conclusions when their causes are correlated with one or more outcomes of interest in an experiment. They are common in many types of high-throughput sequencing experiments, including those using microarrays, mass spectrometers,[1] and single-cell RNA-sequencing data.[2] They are most commonly discussed in the context of genomics and high-throughput sequencing research, but they exist in other fields of science as well.[1]
^ abLeek, Jeffrey T.; Scharpf, Robert B.; Bravo, Héctor Corrada; Simcha, David; Langmead, Benjamin; Johnson, W. Evan; Geman, Donald; Baggerly, Keith; Irizarry, Rafael A. (October 2010). "Tackling the widespread and critical impact of batch effects in high-throughput data". Nature Reviews Genetics. 11 (10): 733–739. doi:10.1038/nrg2825. ISSN 1471-0056. PMC 3880143. PMID 20838408.
^Haghverdi, Laleh; Lun, Aaron T L; Morgan, Michael D; Marioni, John C (May 2018). "Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors". Nature Biotechnology. 36 (5): 421–427. doi:10.1038/nbt.4091. ISSN 1087-0156. PMC 6152897. PMID 29608177.
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