SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

SGCL-LncLoc: An Interpretable Deep Learning Model for Improving IncRNA Subcellular Localization Prediction with Supervised Graph Contrastive Learning

Published:2024-09 Issue:3 Volume:7 Page:765-780
ISSN:2096-0654
Container-title:Big Data Mining and Analytics
language:
Short-container-title:Big Data Min. Anal.

Author:

Li Min¹,Zhao Baoying¹,Li Yiming¹,Ding Pingjian²,Yin Rui³,Kan Shichao¹,Zeng Min¹

Affiliation:

1. School of Computer Science and Engineering, Central South University,Changsha,China,410083

2. Case Western Reserve University,Center for Artificial Intelligence in Drug Discovery,Cleveland,OH,USA,44106

3. University of Florida,Department of Health Outcomes and Biomedical Informatics,Gainesville,FL,USA,32603

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of Central South University

Publisher

Tsinghua University Press

Link

http://xplorestaging.ieee.org/ielx8/8254253/10654612/10654677.pdf?arnumber=10654677

Reference47 articles.

1. An atlas of human long non-coding RNAs with accurate 5′ ends

2. DMFLDA: A Deep Learning Framework for Predicting lncRNA–Disease Associations

3. Unique features of long non-coding RNA biogenesis and function

4. Long Noncoding RNAs with Enhancer-like Function in Human Cells

5. Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis

Cited by 1 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. Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer;Computational and Structural Biotechnology Journal;2024-12

同舟云学术

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