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

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초록

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.

키워드

deep learning; lncRNA; long non-coding RNA; gene transcription; protein regulation; machine learning; LONG NONCODING RNAS; NEURAL-NETWORK; EXPRESSION; DNA
제목
Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments
저자
Kim, Yoojoong; Lee, Minhyeok
DOI
10.3390/ijms241210299
발행일
2023-06
유형
Review
저널명
International Journal of Molecular Sciences
권
24
호
12

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