Accurate confidence aware clustering of array CGH tumor profiles | Zendy

Bart P.P. van Houte | Zendy; Jaap Heringa | Zendy

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Accurate confidence aware clustering of array CGH tumor profiles

Author(s) -

Bart P.P. van Houte,

Jaap Heringa

Publication year - 2009

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/btp603

Subject(s) - cluster analysis , comparative genomic hybridization , preprocessor , computer science , measure (data warehouse) , segmentation , fuzzy clustering , fuzzy logic , correlation , pattern recognition (psychology) , artificial intelligence , computational biology , data mining , biology , mathematics , genetics , genome , gene , geometry

Chromosomal aberrations tend to be characteristic for given (sub)types of cancer. Such aberrations can be detected with array comparative genomic hybridization (aCGH). Clustering aCGH tumor profiles aids in identifying chromosomal regions of interest and provides useful diagnostic information on the cancer type. An important issue here is to what extent individual aCGH tumor profiles can be reliably assigned to clusters associated with a given cancer type.

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