Inferring novel lncRNA–disease associations based on a random walk model of a lncRNA functional similarity network-Reference-Cited by-同舟云学术

Inferring novel lncRNA–disease associations based on a random walk model of a lncRNA functional similarity network

Published:2014 Issue:8 Volume:10 Page:2074-2081
ISSN:1742-206X
Container-title:Mol. BioSyst.
language:en
Short-container-title:Mol. BioSyst.

Author:

Sun Jie¹²³,Shi Hongbo¹²³,Wang Zhenzhen¹²³,Zhang Changjian¹²³,Liu Lin¹²³,Wang Letian¹²³,He Weiwei⁴⁵,Hao Dapeng¹²³,Liu Shulin⁶²³,Zhou Meng¹²³⁷⁸

Affiliation:

1. College of Bioinformatics Science and Technology

2. Harbin Medical University

3. Harbin 150081, PR China

4. Hospital of Harbin Institute of Technology

5. Harbin 150001, PR China

6. Genomics Research Center (one of The State-Province Key Laboratories of Biomedicine-Pharmaceutics of China)

7. College of Life Science

8. Jilin University

Abstract

Accumulating evidence demonstrates that long non-coding RNAs (lncRNAs) play important roles in the development of complex human diseases. Predicting novel human lncRNA–disease associations is a challenging and essential task.

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2014/MB/C3MB70608G

Reference42 articles.

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