Genome-scale MicroRNA target prediction through clustering with Dirichlet process mixture model

Genome-scale MicroRNA target prediction through clustering with Dirichlet process mixture model

Abstract Background MicroRNA regulation is fundamentally responsible for fine-tuning the whole gene network in human and has been implicated in most physiological and pathological conditions. Studying regulatory impact of microRNA on various cellular and disease processes has resulted in numerous co...

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Bibliographic Details
Main Authors: Zeynep Hakguder, Jiang Shu, Chunxiao Liao, Kaiyue Pan, Juan Cui
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Genomics
Subjects:
MicroRNA
MicroRNA target prediction
Dirichlet process Gaussian mixture
Machine learning
Bayesian inference
Dynamic microRNA regulation
Online Access:http://link.springer.com/article/10.1186/s12864-018-5029-7

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http://link.springer.com/article/10.1186/s12864-018-5029-7

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