SANPolyA: a deep learning method for identifying Poly(A) signals.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: Polyadenylation plays a regulatory role in transcription. The recognition of polyadenylation signal (PAS) motif sequence is an important step in polyadenylation. In the past few years, some statistical machine learning-based and deep learning-based methods have been proposed for PAS identification. Although these methods predict PAS with success, there is room for their improvement on PAS identification.

Authors

  • Haitao Yu
    Department of Fundamental Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi 214122, Jiangsu, China.
  • Zhiming Dai
    School of Data and Computer Science.