A scalable computational framework for predicting gene expression from candidate cis-regulatory elements

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Figure 5.
Figure 5.

Chromatin loops facilitate ScPGE to capture cCRE–gene interactions. (A,B) Comparison of the performance of ScPGE, ScPGE-KL, and ScPGE-LP as the number of cCREs increases. (C) The performance (PRAUC) of ScPGE, ScPGE-KL, and ScPGE-LP in classifying cCRE–gene pairs at different distance groups. (D) The true positive rates of ScPGE and ScPGE-Loop on validated ccREs. (E) Visualization of active cCREs of the BAX gene missed by ScPGE but identified by ScPGE-Loop, where validated cCREs are represented by red rectangles and correctly identified cCREs are represented by blue rectangles with red outlines.

This Article

  1. Genome Res. 36: 361-374

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