mdclust—exploratory microarray analysis by multidimensional clustering | Zendy

Martin Dugas | Zendy; Sylvia Merk | Zendy; Stephen Breit | Zendy; P. Dirschedl | Zendy

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mdclust—exploratory microarray analysis by multidimensional clustering

Author(s) -

Martin Dugas,

Sylvia Merk,

Stephen Breit,

P. Dirschedl

Publication year - 2004

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bth009

Subject(s) - cluster analysis , computer science , matching (statistics) , data mining , feature selection , microarray analysis techniques , linear discriminant analysis , selection (genetic algorithm) , computational biology , artificial intelligence , gene , biology , statistics , genetics , mathematics , gene expression

Unsupervised clustering of microarray data may detect potentially important, but not obvious characteristics of samples, for instance subgroups of diagnoses with distinct gene profiles or systematic errors in experimentation.

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