NeRNA: A negative data generation framework for machine learning applications of noncoding RNAs-Reference-Cited by-同舟云学术

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NeRNA: A negative data generation framework for machine learning applications of noncoding RNAs

Published:2023-06 Issue: Volume:159 Page:106861
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Orhan Mehmet Emin^ORCID,Demirci Yılmaz Mehmet^ORCID,Saçar Demirci Müşerref Duygu^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference29 articles.

1. Rethinking the central dogma: noncoding RNAs are biologically relevant;Robinson;Urol. Oncol. Sem. Orig. Invest.,2009

2. Regulatory non-coding RNA: new instruments in the orchestration of cell death;Su;Cell Death Dis.,2016

3. Non-coding RNA: a new frontier in regulatory biology;Fu;Natl. Sci. Rev.,2014

4. miRBase: microRNA sequences, targets and gene nomenclature;Griffiths-Jones;Nucleic Acids Res.,2006

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. A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs;Briefings in Functional Genomics;2024-04-04

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