GIMDA: Graphlet interaction-based MiRNA-disease association prediction-Reference-Cited by-同舟云学术

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GIMDA: Graphlet interaction-based MiRNA-disease association prediction

Published:2017-12-22 Issue:3 Volume:22 Page:1548-1561
ISSN:1582-1838
Container-title:Journal of Cellular and Molecular Medicine
language:en
Short-container-title:J. Cell. Mol. Med.

Author:

Chen Xing¹^ORCID,Guan Na-Na²,Li Jian-Qiang²,Yan Gui-Ying³

Affiliation:

1. School of Information and Control Engineering; China University of Mining and Technology; Xuzhou China

2. College of Computer Science and Software Engineering; Shenzhen University; Shenzhen China

3. Academy of Mathematics and Systems Science; Chinese Academy of Sciences; Beijing China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Technology Planning Project from Guangdong Province

Publisher

Wiley

Subject

Cell Biology,Molecular Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jcmm.13429/fullpdf

Reference80 articles.

1. microRNAs: tiny regulators with great potential;Ambros;Cell,2001

2. Mechanisms of gene silencing by double-stranded RNA;Meister;Nature,2004

3. MicroRNAs: genomics, biogenesis, mechanism, and function;Bartel;Cell,2004

4. The functions of animal microRNAs;Ambros;Nature,2004

5. MicroRNA categorization using sequence motifs and k-mers;Yousef;BMC Bioinformatics,2017

Cited by 24 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. Corrigendum to “Predicting lncRNA–miRNA interactions based on interactome network and graphlet interaction” [Genomics 113 (2021) 874–880];Genomics;2022-01

2. Inferring miRNA-disease associations using collaborative filtering and resource allocation on a tripartite graph;BMC Medical Genomics;2021-11

3. Expression levels and clinical values of miR-92b-3p in breast cancer;World Journal of Surgical Oncology;2021-08-11

4. RSCMDA: Prediction of Potential miRNA–Disease Associations Based on a Robust Similarity Constraint Learning Method;Interdisciplinary Sciences: Computational Life Sciences;2021-07-10

5. MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph;Briefings in Bioinformatics;2021-05-03

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