Skip to main content
Fig. 2 | BMC Bioinformatics

Fig. 2

From: ProtRank: bypassing the imputation of missing values in differential expression analysis of proteomic data

Fig. 2

The impact of imputation on differential expression analysis. The fraction of the significant genes identified by edgeR in the original transcriptomic data that are lost when the data are analyzed by edgeR after imputing missing values with various shift and scale parameters. Significance was evaluated with edgeR using the false discovery rate (FDR) threshold of 0.20. Results are averaged over 30 imputation realizations

Back to article page