Fig. 1
From: ABSSeq: a new RNA-Seq analysis method based on modelling absolute expression differences
Method-dependent variation in type I error. Type I error rates for ABSSeq and five alternative methods using the modencodefly real data set (a) and two simulation settings: Negative Binomial (NB, c left panel), and NB with random outliers (R, c right panel). b Points show the absolute log fold change (FC, y-axis) distribution of false positives against the expression level (logCPM, x-axis). c Each boxplot summarizes the type I error rates across 10 independent simulated data sets. Asterisk indicates a statistically significant difference in type I error between ABSSeq and any of the other methods. n indicates the number of RNA replicates considered in each case (ranging from 2 to 10). Under all conditions, ABSSeq reduced the type I error rate