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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Veröffentlicht in:	Oncotarget Jg. 7; H. 40; S. 65257
Hauptverfasser:	Chen, Xing, Yan, Chenggang Clarence, Zhang, Xu, You, Zhu-Hong, Huang, Yu-An, Yan, Gui-Ying
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 04.10.2016
Schlagworte:	Computational Biology - methods Computer Simulation Humans MicroRNAs Models, Theoretical Neoplasms - genetics microRNA microRNA-disease association disease heterogeneous network similarity
ISSN:	1949-2553, 1949-2553
Online-Zugang:	Weitere Angaben
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