Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module-Reference-Cited by-同舟云学术

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Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module

Published:2021-01-01 Issue:1 Volume:28 Page:33-42
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Cao Buwen¹²,Deng Shuguang¹,Qin Hua¹,Luo Jiawei²,Li Guanghui³,Liang Cheng⁴

Affiliation:

1. College of Information and Electronic Engineering, Hunan City University, Yiyang, China.

2. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China.

3. School of Information Engineering, East China Jiaotong University, Nanchang, China.

4. College of Information Science and Engineering, Shandong Normal University, Jinan, China.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0106

Reference32 articles.

1. CFinder: locating cliques and overlapping modules in biological networks

2. The functions of animal microRNAs

3. MOEPGA: A novel method to detect protein complexes in yeast protein–protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm

4. Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks

5. Detection of Protein Complexes Based on Penalized Matrix Decomposition in a Sparse Protein–Protein Interaction Network

Cited by 6 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. CircBLNK regulates tumor proliferation and apoptosis by miR-578/ING5 axis in non-small cell lung cancer;MOL CELL TOXICOL;2023

2. Predicting miRNA-disease association through combining miRNA function and network topological similarities based on MINE;iScience;2022-11

3. MDA-TOEPGA: A novel method to identify miRNA-disease association based on two-objective evolutionary programming genetic algorithm;BIOCELL;2022

4. INTS-MFS: A novel method to predict microRNA-disease associations by integrating network topology similarity and microRNA function similarity;BIOCELL;2022

5. MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information;Computers in Biology and Medicine;2021-09

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