Fast dimension reduction and integrative clustering of multi-omics data using lowrank approximation: Application to cancer molecular classification

BMC Genomics

Volumn 16, Issue 1, 2015, Pages

  Wu, Dingming ^a   Wang, Dongfang ^a   Zhang, Michael Q ^a,b   Gu, Jin ^a  

^a TSINGHUA UNIVERSITY   (China)

^b UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

Algorithm; Cancer; Clustering; Dimension reduction; Low rank approximation; Mutli omics

Indexed keywords

ALGORITHM; ARTICLE; CANCER CLASSIFICATION; CLUSTER ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; DRUG DATABASE; GENOMICS; LOW RANK APPROXIMATION; MULTI OMICS; STATISTICAL ANALYSIS; BIOLOGY; EPIGENETICS; GENETICS; HUMAN; INFORMATION PROCESSING; NEOPLASM; PROCEDURES;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATASETS AS TOPIC; EPIGENOMICS; GENOMICS; HUMANS; NEOPLASMS;

EID: 84949254714     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/s12864-015-2223-8     Document Type: Article

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