Base-resolution prediction of transcription factor binding signals by a deep learning framework
Fig 1
Schematic overview of FCNsignal framework.
(A) FCNsignal is mainly composed of an encoder architecture, a decoder architecture, and a skip architecture, which takes as input DNA sequences and predicts the base-resolution signals. FCNsignal can simultaneously realize multiple tasks with high accuracy by using the maximum values of predicted signals. (B) FCNsignal can accurately capture the signals of the shifted binding regions that are separately located at 250bp, 500bp, and 750bp. (C) FCNsignal can accurately capture the signals of the binding regions that were randomly inserted into negative sequences.