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Fig. 3 | BMC Bioinformatics

Fig. 3

From: variancePartition: interpreting drivers of variation in complex gene expression studies

Fig. 3

Analysis of Sequencing Quality Control (SEQC) dataset decouples sources of technical variation. a Violin and box plots of percent variation in gene expression explained by each variable. b Boxplot of percent variance explained by RNA sample for human genes and External RNA Controls Consortium (ERCC) spike-in controls. P-value is from one-sided Mann-Whitney test. c Scatter plot of percent GC content and percent variance explained by laboratory. Red line indicates linear regression line with regression coefficient, coefficient of determination and p-value shown

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