Novel human lncRNA–disease association inference based on lncRNA expression profiles
Chinese Academy of Sciences · National Center for Mathematics and Interdisciplinary Sciences · +1 more institution
Abstract
MOTIVATION: 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. RESULTS: In this article, we proposed the assumption that similar diseases tend to be associated with functionally similar lncRNAs. Then, we further developed the method of Laplacian Regularized Least Squares for LncRNA-Disease…
Citation impact
- FWCI
- 5.20
- Percentile
- 100%
- References
- 55
Authors
2- XCXing ChenCorresponding
Chinese Academy of Sciences, National Center for Mathematics and Interdisciplinary Sciences, Academy of Mathematics and Systems Science
- GYGuiying YanCorresponding
Chinese Academy of Sciences, National Center for Mathematics and Interdisciplinary Sciences, Academy of Mathematics and Systems Science
Topics & keywords
- Identification (biology)
- Inference
- Disease
- Computer science
- Computational biology
- Biomarker
- Machine learning
- Coding (social sciences)