NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion

• Published in: Briefings in bioinformatics Vol. 22; no. 1; pp. 485 - 496
• Main Authors: Chen, Xing, Sun, Lian-Gang, Zhao, Yan
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 18.01.2021; Oxford Publishing Limited (England)
• Subjects: Algorithms; Biological activity; Biomarkers; Breast; Breast cancer; Case studies; Colon; Colorectal cancer; Computer applications; Constraint modelling; Disease; Esophageal cancer; Esophagus; Information processing; Iterative methods; Mathematical models; MicroRNAs; miRNA; Neighborhoods; Neoplasms; Optimization; Predictions; Reliability analysis; Similarity; Therapeutic targets; Tumors; microRNA; association prediction; disease; matrix completion; fast iterative shrinkage-thresholding algorithm; neighborhood constraint

Abstract Emerging evidence shows that microRNAs (miRNAs) play a critical role in diverse fundamental and important biological processes associated with human diseases. Inferring potential disease related miRNAs and employing them as the biomarkers or drug targets could contribute to the prevention,...