Mammalian piRNA target prediction using a hierarchical attention model.

Journal: BMC bioinformatics
PMID: 39934678

Abstract

BACKGROUND: Piwi-interacting RNAs (piRNAs) are well established for monitoring and protecting the genome from transposons in germline cells. Recently, numerous studies provided evidence that piRNAs also play important roles in regulating mRNA transcript levels. Despite their significant role in regulating cellular RNA levels, the piRNA targeting rules are not well defined, especially in mammals, which poses obstacles to the elucidation of piRNA function.

Authors

  • Tianjiao Zhang
    College of Computer and Control Engineering, Northeast Forestry University, Harbin 150040, China.
  • Liang Chen
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
  • Haibin Zhu
    Department of Statistics and Data Science, School of Economics, Jinan University, Guangzhou, 510632, China.
  • Garry Wong
    Faculty of Health Sciences, University of Macau, Taipa, 999078, Macau SAR, China. GarryGWong@um.edu.mo.

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