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Influence of batch effect correction methods on drug induced differential gene expression profiles.

Wei ZhouKarel K M KoudijsStefan Böhringer
Published in: BMC bioinformatics (2019)
Batch effect correction methods strongly impact differential gene expression analysis when the sample size is large enough to contain sufficient information and thus the downstream drug repositioning. We recommend including two or three principal components as covariates in fitting models with limma when sample size is sufficient (larger than 40 drug and controls combined).
Keyphrases
  • drug induced
  • gene expression
  • liver injury
  • dna methylation
  • adverse drug
  • emergency department
  • healthcare
  • anaerobic digestion
  • health information