Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks

• Published in: Briefings in bioinformatics Vol. 17; no. 2; pp. 193 - 203
• Main Authors: Zeng, Xiangxiang, Zhang, Xuan, Zou, Quan
• Format: Journal Article
• Language: English
• Published: England Oxford Publishing Limited (England) 01.03.2016
• Subjects: Biological; Computation; Computational efficiency; computational methodology; Computer Simulation; Data Mining - methods; Databases, Genetic; Experimental methods; Experiments; Gene expression; Gene Expression Regulation - genetics; Genetic Predisposition to Disease - genetics; Humans; Mathematical analysis; microRNA; MicroRNAs; MicroRNAs - genetics; Models, Genetic; Networks; Pathogenesis; prediction; Protein Interaction Maps - genetics; Proteome - genetics; Ribonucleic acids; Sequence Analysis, RNA - methods; Similarity; Strategy; Transcription factors; biological database; disease miRNA prediction; network similarity

MicroRNAs (miRNA) play critical roles in regulating gene expressions at the posttranscriptional levels. The prediction of disease-related miRNA is vital to the further investigation of miRNA's involvement in the pathogenesis of disease. In previous years, biological experimentation is the main...