Accurate transcriptome-wide identification and quantification of alternative polyadenylation from RNA-seq data with APAIQ

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Figure 1.
Figure 1.

A hybrid deep-learning model for PAS identification. (A) A schematic illustration of the framework of APAIQ. (B) Venn diagram shows the number of PASs with sufficient expression level in each cell line and their overlaps. (C) Numbers of genes with different numbers of the identified PAS.

This Article

  1. Published in Advance April 28, 2023, doi: 10.1101/gr.277177.122 Genome Res. 33: 644-657

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