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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Principais autores:	Zeynep Hakguder, Jiang Shu, Chunxiao Liao, Kaiyue Pan, Juan Cui
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2018-09-01
Colecção:	BMC Genomics
Assuntos:	MicroRNA MicroRNA target prediction Dirichlet process Gaussian mixture Machine learning Bayesian inference Dynamic microRNA regulation
Acesso em linha:	http://link.springer.com/article/10.1186/s12864-018-5029-7
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