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Volumn 2, Issue 1, 2012, Pages

mCOPA: Analysis of heterogeneous features in cancer expression data

Author keywords

Bioinformatics; Cancer; Cluster; Expression data; Expression profile; Feature selection; Heterogeneous; Outliers; Percentile; Subtype

Indexed keywords


EID: 84877026653     PISSN: None     EISSN: 20439113     Source Type: Journal    
DOI: 10.1186/2043-9113-2-22     Document Type: Article
Times cited : (18)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.