RNAseqCovarImpute: a multiple imputation procedure that outperforms complete case and single imputation differential expression analysis

RNAseqCovarImpute: a multiple imputation procedure that outperforms complete case and single imputation differential expression analysis

Abstract Missing covariate data is a common problem that has not been addressed in observational studies of gene expression. Here, we present a multiple imputation method that accommodates high dimensional gene expression data by incorporating principal component analysis of the transcriptome into t...

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Bibliographic Details
Main Authors: Brennan H. Baker, Sheela Sathyanarayana, Adam A. Szpiro, James W. MacDonald, Alison G. Paquette
Format: Article
Language:English
Published: BMC 2024-09-01
Series:Genome Biology
Subjects:
Differential expression analysis
RNA-sequencing
Gene expression
Multiple imputation
Missing data
Online Access:https://doi.org/10.1186/s13059-024-03376-7

Internet

https://doi.org/10.1186/s13059-024-03376-7

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