HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction

Oncotarget

Volumn 7, Issue 40, 2016, Pages 65257-65269

  Chen, Xing ^a   Yan, Chenggang Clarence ^b   Zhang, Xu ^c   You, Zhu Hong ^a   Huang, Yu An ^d   Yan, Gui Ying ^e  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b HANGZHOU DIANZI UNIVERSITY   (China)

^c SHANDONG UNIVERSITY   (China)

^d HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^e CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Disease; Heterogeneous network; MicroRNA; MicroRNA disease association; Similarity

Indexed keywords

MICRORNA; MICRORNA 106B; MICRORNA 125B; MICRORNA 143; MICRORNA 146A; MICRORNA 155; MICRORNA 16; MICRORNA 18A; MICRORNA 19A; MICRORNA 19B; MICRORNA 200A; MICRORNA 200B; MICRORNA 20A; MICRORNA 21; MICRORNA 221; MICRORNA 222; MICRORNA 223; MICRORNA 29A; MICRORNA 29B; MICRORNA 34A; MICRORNA 9; MICRORNA 92A; MICRORNA LET 7A; MICRORNA LET 7B; MICRORNA LET 7C; MICRORNA LET 7D; MICRORNA LET 7E; MICRORNA LET 7F; MICRORNA LET 7I; UNCLASSIFIED DRUG; UNINDEXED DRUG;

ARTICLE; COLON TUMOR; COMPUTER MODEL; DISEASE ASSOCIATION; ESOPHAGUS CANCER; GENE FUNCTION; HETEROGENEOUS GRAPH INFERENCE FOR MIRNA DISEASE ASSOCIATION; HUMAN; KERNEL METHOD; KIDNEY TUMOR; MATHEMATICAL COMPUTING; BIOLOGY; COMPUTER SIMULATION; GENETICS; NEOPLASM; PROCEDURES; THEORETICAL MODEL;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; HUMANS; MICRORNAS; MODELS, THEORETICAL; NEOPLASMS;

EID: 84994092024     PISSN: None     EISSN: 19492553     Source Type: Journal    
DOI: 10.18632/oncotarget.11251     Document Type: Article

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