AttentionSplice: An Interpretable Multi‐Head Self‐Attention Based Hybrid Deep Learning Model in Splice Site Prediction
Author:
Affiliation:
1. National Engineering Laboratory for Agri‐Product Quality Traceability, Beijing Technology and Business UniversityBeijing100048China
2. Division of Chemical Metrology and Analytical ScienceNational Institute of MetrologyBeijing100029China
Funder
Natural Science Foundation of Beijing Municipality
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2021.00.221
Reference35 articles.
1. In silico tools for splicing defect prediction: a survey from the viewpoint of end users
2. Comprehensive splice-site analysis using comparative genomics
3. Analysis of canonical and non-canonical splice sites in mammalian genomes
4. Biological gene sequence stucture analysis using hidden Markov model;Karuppusamy T;Turkish Journal of Computer and Mathematics Education (TURCOMAT),2021
5. Prediction of donor splice sites using random forest with a new sequence encoding approach;Meher P. K.;BioData Mining,2016
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Flexible margins and multiple samples learning to enhance lexical semantic similarity;Engineering Applications of Artificial Intelligence;2024-07
2. TBCA: Prediction of Transcription Factor Binding Sites Using a Deep Neural Network With Lightweight Attention Mechanism;IEEE Journal of Biomedical and Health Informatics;2024-04
3. Guest Editorial Advanced Machine Learning and Artificial Intelligence Tools for Computational Biology: Methodologies and Challenges;IEEE Journal of Biomedical and Health Informatics;2024-04
4. Umami-BERT: An interpretable BERT-based model for umami peptides prediction;Food Research International;2023-10
5. Transformer Architecture and Attention Mechanisms in Genome Data Analysis: A Comprehensive Review;Biology;2023-07-22
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3