Potential miRNA-disease association prediction based on kernelized Bayesian matrix factorization

Many biological experimental studies have confirmed that microRNAs (miRNAs) play a significant role in human complex diseases. Exploring miRNA-disease associations could be conducive to understanding disease pathogenesis at the molecular level and developing disease diagnostic biomarkers. However, s...

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Vydané v:	Genomics (San Diego, Calif.) Ročník 112; číslo 1; s. 809 - 819
Hlavní autori:	Chen, Xing, Li, Shao-Xin, Yin, Jun, Wang, Chun-Chun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.01.2020
Predmet:	Association prediction Bayesian algorithm Bayesian theory biomarkers case studies Conjugate probabilistic model Disease humans Matrix factorization microRNA neoplasms pathogenesis prediction microRNA Matrix factorization Bayesian algorithm Disease Conjugate probabilistic model Association prediction
ISSN:	0888-7543, 1089-8646, 1089-8646
On-line prístup:	Získať plný text
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