Novel human lncRNA–disease association inference based on lncRNA expression profiles | Zendy

Xing Chen | Zendy; Guiying Yan | Zendy

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Novel human lncRNA–disease association inference based on lncRNA expression profiles

Author(s) -

Xing Chen,

Guiying Yan

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt426

Subject(s) - identification (biology) , inference , disease , computer science , computational biology , biomarker , machine learning , coding (social sciences) , biomarker discovery , association (psychology) , selection (genetic algorithm) , bioinformatics , biology , artificial intelligence , medicine , genetics , gene , statistics , philosophy , botany , mathematics , epistemology , pathology , proteomics

More and more evidences have indicated that long-non-coding RNAs (lncRNAs) play critical roles in many important biological processes. Therefore, mutations and dysregulations of these lncRNAs would contribute to the development of various complex diseases. Developing powerful computational models for potential disease-related lncRNAs identification would benefit biomarker identification and drug discovery for human disease diagnosis, treatment, prognosis and prevention.

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