Prediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-03986-1.pdf
Reference45 articles.
1. Kim, M.-Y., Hur, J. & Jeong, S.-J. Emerging roles of rna and rna-binding protein network in cancer cells. BMB reports 42, 125–130 (2009).
2. Sola, I., Mateos-Gomez, P. A., Almazan, F., Zuñiga, S. & Enjuanes, L. Rna-rna and rna-protein interactions in coronavirus replication and transcription. RNA biology 8, 237–248 (2011).
3. Kishore, S., Luber, S. & Zavolan, M. Deciphering the role of rna-binding proteins in the post-transcriptional control of gene expression. Briefings in functional genomics 9, 391–404 (2010).
4. Tripathi, R., Patel, S., Kumari, V., Chakraborty, P. & Varadwaj, P. K. Deeplnc, a long non-coding rna prediction tool using deep neural network. Network Modeling Analysis in Health Informatics and Bioinformatics 5, 21 (2016).
5. Tripathi, R., Soni, A. & Varadwaj, P. K. Integrated analysis of dysregulated lncrna expression in breast cancer cell identified by rna-seq study. Non-coding RNA Research (2016).
Cited by 77 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. Hybrid-attention mechanism based heterogeneous graph representation learning;Expert Systems with Applications;2024-09
2. GATLGEMF: A graph attention model with line graph embedding multi-complex features for ncRNA-protein interactions prediction;Computational Biology and Chemistry;2024-02
3. Application of Fireworks Algorithm in Bioinformatics;Research Anthology on Bioinformatics, Genomics, and Computational Biology;2023-12-29
4. LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm;Methods;2023-12
5. RPIPCM: A deep network model for predicting lncRNA-protein interaction based on sequence feature encoding;Computers in Biology and Medicine;2023-10
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