RBMMMDA: predicting multiple types of disease-microRNA associations

• Published in: Scientific reports Vol. 5; no. 1; p. 13877
• Main Authors: Chen, Xing, Clarence Yan, Chenggang, Zhang, Xiaotian, Li, Zhaohui, Deng, Lixi, Zhang, Yongdong, Dai, Qionghai
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 08.09.2015; Nature Publishing Group
• Subjects: 631/114/2397; 631/337/384/331; 631/553/2695; Algorithms; Alzheimer's disease; Biomarkers; Breast cancer; Cell cycle; Computational Biology - methods; Computer applications; Epigenetics; Gene expression; Genetic Association Studies - methods; Genetic Predisposition to Disease; Humanities and Social Sciences; Humans; Lung cancer; Medical prognosis; Metastasis; MicroRNAs; MicroRNAs - genetics; miRNA; multidisciplinary; Proteins; Reproducibility of Results; ROC Curve; Science; Software

Accumulating evidences have shown that plenty of miRNAs play fundamental and important roles in various biological processes and the deregulations of miRNAs are associated with a broad range of human diseases. However, the mechanisms underlying the dysregulations of miRNAs still have not been fully...