NTSMDA: prediction of miRNA–disease associations by integrating network topological similarity-Reference-Cited by-同舟云学术

NTSMDA: prediction of miRNA–disease associations by integrating network topological similarity

Published:2016 Issue:7 Volume:12 Page:2224-2232
ISSN:1742-206X
Container-title:Molecular BioSystems
language:en
Short-container-title:Mol. BioSyst.

Author:

Sun Dongdong¹²³⁴,Li Ao¹²³⁴⁵,Feng Huanqing¹²³⁴,Wang Minghui¹²³⁴⁵

Affiliation:

1. School of Information Science and Technology

2. University of Science and Technology of China

3. Hefei AH230027

4. People's Republic of China

5. Centers for Biomedical Engineering

Abstract

Recently, accumulating studies have indicated that microRNAs (miRNAs) play an important role in exploring the pathogenesis of various human diseases at the molecular level and may result in the design of specific tools for diagnosis, treatment evaluation and prevention.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2016/MB/C6MB00049E

Reference46 articles.

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2. Active turnover modulates mature microRNA activity in Caenorhabditis elegans

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4. Evaluation of Genetic Variants in MicroRNA-Related Genes and Risk of Bladder Cancer

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