MDformer: A transformer-based method for predicting miRNA-Disease associations using multi-source feature fusion and maximal meta-path instances encoding-Reference-Cited by-同舟云学术

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MDformer: A transformer-based method for predicting miRNA-Disease associations using multi-source feature fusion and maximal meta-path instances encoding

Published:2023-12 Issue: Volume:167 Page:107585
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Dong Benzhi,Sun Weidong^ORCID,Xu Dali,Wang Guohua,Zhang Tianjiao^ORCID

Funder

China National Funds for Distinguished Young Scientists

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference46 articles.

1. Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies;Mattie;Mol. Cancer,2006

2. MicroRNA markers for the diagnosis of pancreatic and biliary-tract cancers;Kojima;PLoS One,2015

3. MicroRNA detection by northern blotting using locked nucleic acid probes;Várallyay;Nat. Protoc.,2008

4. Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes;Baskerville;RNA,2005

5. Quantitative RT-PCR: pitfalls and potential;Freeman;Biotechniques,1999

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1. TriFusion enables accurate prediction of miRNA-disease association by a tri-channel fusion neural network;Communications Biology;2024-08-30

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