Fig. 6From: Measure transcript integrity using RNA-seq dataEvaluate the effect of TIN correction on gene expression. a Smoothed scatterplot showing TIN scores and raw read counts for a sample (GSM1722952) with good RNA quality with RIN = 6.7 and medTIN = 71.5 (before correction), (b) Smoothed scatterplot showing TIN scores and raw read counts for a sample (GSM1722948) with poor RNA quality with RIN = 2.6 and medTIN = 48.9 (before correction). c Smoothed scatterplot showing TIN scores and corrected read counts (using loess regression) for the sample with good RNA quality (after correction). d. Scatterplot showing TIN scores and corrected read counts (using loess regression) for the sample with poor RNA quality (after correction). Loess and linear regression trends were indicated as yellow (solid) and red (dashed) curves, respectivelyBack to article page