HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction

Recently, microRNAs (miRNAs) have drawn more and more attentions because accumulating experimental studies have indicated miRNA could play critical roles in multiple biological processes as well as the development and progression of human complex diseases. Using the huge number of known heterogeneou...

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Vydané v:	Oncotarget Ročník 7; číslo 40; s. 65257
Hlavní autori:	Chen, Xing, Yan, Chenggang Clarence, Zhang, Xu, You, Zhu-Hong, Huang, Yu-An, Yan, Gui-Ying
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 04.10.2016
Predmet:	Computational Biology - methods Computer Simulation Humans MicroRNAs Models, Theoretical Neoplasms - genetics microRNA microRNA-disease association disease heterogeneous network similarity
ISSN:	1949-2553, 1949-2553
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