Long non-coding RNAs and complex diseases: from experimental results to computational models

• Published in: Briefings in bioinformatics Vol. 18; no. 4; pp. 558 - 576
• Main Authors: Chen, Xing, Yan, Chenggang Clarence, Zhang, Xu, You, Zhu-Hong
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.07.2017; Oxford Publishing Limited (England)
• Subjects: Algorithms; Bioinformatics; Biological activity; Biomarkers; Computational Biology; Computer applications; Computer Simulation; Disease control; Humans; Life cycles; Mathematical models; Mutation; Nematodes; Predictions; RNA, Long Noncoding - genetics; Task complexity; computational model; biological network; complex disease; lncRNA-disease association prediction; long non-coding RNA; machine learning; lncRNA–disease association prediction

Abstract LncRNAs have attracted lots of attentions from researchers worldwide in recent decades. With the rapid advances in both experimental technology and computational prediction algorithm, thousands of lncRNA have been identified in eukaryotic organisms ranging from nematodes to humans in the pa...