X-LDA: An interpretable and knowledge-informed heterogeneous graph learning framework for LncRNA-disease association prediction-Reference-Cited by-同舟云学术

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X-LDA: An interpretable and knowledge-informed heterogeneous graph learning framework for LncRNA-disease association prediction

Published:2023-12 Issue: Volume:167 Page:107634
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Cao Yangkun^ORCID,Xiao Jun,Sheng Nan^ORCID,Qu Yinwei,Wang Zhihang,Sun Chang,Mu Xuechen,Huang Zhenyu^ORCID,Li Xuan^ORCID

Funder

Jilin University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference60 articles.

1. LncRNA: a link between RNA and cancer;Yang;Biochim. Biophys. Acta (BBA)-Gene Regulatory Mechanisms,2014

2. The role of long non-coding RNAs in breast cancer;Soudyab;Arch. Iran. Med.,2016

3. Revealing lncRNA structures and interactions by sequencing-based approaches;Qian;Trends Biochem. Sci.,2019

4. LINC02273 drives breast cancer metastasis by epigenetically increasing AGR2 transcription;Xiu;Mol. Cancer,2019

5. Tumor immune microenvironment lncRNAs;Park;Brief. Bioinform.,2022

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. Finding potential lncRNA–disease associations using a boosting-based ensemble learning model;Frontiers in Genetics;2024-03-01

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