Deep Learning in DNA- and RNA-sequence Analysis: Advances and New Challenges

被引：0
|
作者：
Li, Xiangtao [1 ]
机构：
[1] Jilin Univ, Sch Artificial Intelligence, Jilin, Peoples R China
来源：
CURRENT BIOINFORMATICS | 2024年 / 19卷 / 09期
关键词：
D O I：
10.2174/157489361909240611150749
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
引用
收藏
页码：793 / 793
页数：1
相关论文
共 50 条
  • [1] Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
    Alipanahi, Babak
    Delong, Andrew
    Weirauch, Matthew T.
    Frey, Brendan J.
    [J]. NATURE BIOTECHNOLOGY, 2015, 33 (08) : 831 - +
  • [2] RNA-sequence analysis of human B-cells
    Toung, Jonathan M.
    Morley, Michael
    Li, Mingyao
    Cheung, Vivian G.
    [J]. GENOME RESEARCH, 2011, 21 (06) : 991 - 998
  • [3] Advances and Challenges of Deep Learning
    Wang, Shui-Hua
    Zhang, Yu-Dong
    [J]. Recent Patents on Engineering, 2023, 17 (04)
  • [4] RNA-sequence analysis of samples from patients with idiopathic adhesive capsulitis
    Cui, Jiaming
    Zhang, Tongda
    Xiong, Jianyi
    Lu, Wei
    Duan, Li
    Zhu, Weimin
    Wang, Daping
    [J]. MOLECULAR MEDICINE REPORTS, 2017, 16 (05) : 7665 - 7672
  • [5] DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues
    Ul Kabir, Md Wasi
    Alawad, Duaa Mohammad
    Pokhrel, Pujan
    Hoque, Md Tamjidul
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 170
  • [6] Understanding DNA- and RNA-binding Proteins Using Sequence and Structural Features
    Carson, Matthew B.
    Langlois, Robert
    Lu, Hui
    [J]. BIOPHYSICAL JOURNAL, 2009, 96 (03) : 64A - 64A
  • [7] Deep learning for Mpox: Advances, challenges, and opportunities
    Wongvibulsin, Shannon
    Adamson, Adewole S.
    [J]. MED, 2023, 4 (05): : 283 - 284
  • [8] Effect of intercalator substituent and nucleotide sequence on the stability of DNA- and RNA-naphthalimide complexes
    Johnson, Charles A.
    Hudson, Graham A.
    Hardebeck, Laura K. E.
    Jolley, Elizabeth A.
    Ren, Yi
    Lewis, Michael
    Znosko, Brent M.
    [J]. BIOORGANIC & MEDICINAL CHEMISTRY, 2015, 23 (13) : 3586 - 3591
  • [9] Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities
    Trabelsi, Ameni
    Chaabane, Mohamed
    Ben-Hur, Asa
    [J]. BIOINFORMATICS, 2019, 35 (14) : I269 - I277
  • [10] Machine learning in RNA structure prediction: Advances and challenges
    Zhang, Sicheng
    Li, Jun
    Chen, Shi-Jie
    [J]. BIOPHYSICAL JOURNAL, 2024, 123 (17) : 2647 - 2657
12345