RNAseqCovarImpute: a multiple imputation procedure that outperforms complete case and single imputation differential expression analysis.
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SUBMITTER: Baker BH
PROVIDER: S-EPMC11370143 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature
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RNAseqCovarImpute: a multiple imputation procedure that outperforms complete case and single imputation differential expression analysis.
Baker Brennan H BH Sathyanarayana Sheela S Szpiro Adam A AA MacDonald James W JW Paquette Alison G AG
Genome biology 20240903 1
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 the multiple imputation prediction models to avoid bias. Simulation studies using three datasets show that this method outperforms complete case and single imputation analyses at uncovering true positive differ ...[more]
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