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Fig. 5 | BMC Genomics

Fig. 5

From: aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data

Fig. 5

Correlation between fold changes from PrimePCR and SEQC. Scatter plot of log2 fold changes from PrimePCR (y-axis) and SEQC (x-axis). The log2 fold changes for SEQC are generated using qtotal and shown at ordinary (left panel), aFold moderated (middle) and DESeq2 moderated (right) levels. Lowly expressed genes (logCPM < 1) are indicated by red points. The correlation (R-squared) between log2 fold changes from PrimePCR and SEQC increases from 0.18, 0.17 and 0.16 to 0.37, 0.33 and 0.36 by excluding lowerly expressed genes

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