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

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,...

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Vydáno v:	Briefings in bioinformatics Ročník 22; číslo 1; s. 485 - 496
Hlavní autoři:	Chen, Xing, Sun, Lian-Gang, Zhao, Yan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Oxford University Press 18.01.2021 Oxford Publishing Limited (England)
Témata:	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
ISSN:	1467-5463, 1477-4054, 1477-4054
On-line přístup:	Získat plný text
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