Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics

HIGHLIGHTS

• who: Marie Chion and colleagues from the Université de Technologie de Troyes, Troyes, France Editor:, University of California have published the article: Accounting for multiple imputation-induced variability for differential analysis in mass spectrometry-based label-free quantitative proteomics, in the Journal: (JOURNAL) of August/29,/2022
• what: The authors provide a rigorous multiple imputation strategy leading to a less biased estimation of the parameters' variability thanks to Rubin's rules. The authors propose a new methodology that starts by imputing missing values at the peptide level and estimating the uncertainty associated with this imputation . . .
  

   

  

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