Fig. 5
Consistency Assessment. a Absolute difference of the normalized and log2 transformed quantifications (norm_quantifications) of the second batch from the mean of the triplicates of the first batch for each quantified miRNA of the 1000 ng input data. b Absolute difference of norm_quantifications for each quantified miRNA from a given triplicate to that of the mean of all three triplicates of the 1000 ng input data. c Absolute difference of norm_quantifications for each quantified miRNA from a given triplicate to that of the mean of all three triplicates of the data for all the starting inputs. d Percent variance of batch inconsistency (data in a) explained by various sequence factors. The heatmap legend shows the percentage of variance from 0 to 75%. e Percent variance of batch inconsistency (data in a) explained by various sequence factors weighted by the overall batch variance of each method. The heatmap legend shows the percentage of variance from 0 to 75%. f Plots of the association of expression and batch error. g Percent variance explained by various sequence factors of the triplicate inconsistency plotted in c. The heatmap legend shows the percentage of variance from 0 to 100%. h Percent variance explained by various sequence factors of the triplicate inconsistency plotted in c and weighted by the overall variance of triplicate error for each method. i Plots of the association of expression and triplicate inconsistency using all starting input data in c. The heatmap legend shows the percentage of variance from 0 to 100%