Skip to main navigation Skip to search Skip to main content

Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments

  • Chung-Ang University

Research output: Contribution to journalReview articlepeer-review

23 Scopus citations

Abstract

This review paper provides an extensive analysis of the rapidly evolving convergence of deep learning and long non-coding RNAs (lncRNAs). Considering the recent advancements in deep learning and the increasing recognition of lncRNAs as crucial components in various biological processes, this review aims to offer a comprehensive examination of these intertwined research areas. The remarkable progress in deep learning necessitates thoroughly exploring its latest applications in the study of lncRNAs. Therefore, this review provides insights into the growing significance of incorporating deep learning methodologies to unravel the intricate roles of lncRNAs. By scrutinizing the most recent research spanning from 2021 to 2023, this paper provides a comprehensive understanding of how deep learning techniques are employed in investigating lncRNAs, thereby contributing valuable insights to this rapidly evolving field. The review is aimed at researchers and practitioners looking to integrate deep learning advancements into their lncRNA studies.

Original languageEnglish
Article number10299
JournalInternational Journal of Molecular Sciences
Volume24
Issue number12
DOIs
StatePublished - Jun 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Keywords

  • deep learning
  • gene transcription
  • lncRNA
  • long non-coding RNA
  • machine learning
  • protein regulation

Fingerprint

Dive into the research topics of 'Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments'. Together they form a unique fingerprint.

Cite this