An improved random forest-based computational model for predicting novel miRNA-disease associations

An improved random forest-based computational model for predicting novel miRNA-disease associations

Background: A large body of evidence shows that miRNA regulates the expression of its target genes at post-transcriptional level and the dysregulation of miRNA is related to many complex human diseases. Accurately discovering disease-related miRNAs is conductive to the exploring of the pathogenesis...

Полное описание

Библиографические подробности
Главные авторы:	Yao, Dengju, Zhan, Xiaojuan, Kwoh, Chee-Keong
Другие авторы:	School of Computer Science and Engineering
Формат:	Journal Article
Язык:	English
Опубликовано:	2020
Предметы:	Engineering::Computer science and engineering Disease miRNA
Online-ссылка:	https://hdl.handle.net/10356/142190

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