Correcting the loss of cell-cycle synchrony in clustering analysis of microarray data using weights | Zendy

Fenghai Duan | Zendy; Heping Zhang | Zendy

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Correcting the loss of cell-cycle synchrony in clustering analysis of microarray data using weights

Author(s) -

Fenghai Duan,

Heping Zhang

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/bth169

Subject(s) - orfs , cluster analysis , set (abstract data type) , variable (mathematics) , computer science , data set , function (biology) , expression (computer science) , measure (data warehouse) , data mining , open reading frame , computational biology , statistics , biology , mathematics , artificial intelligence , genetics , gene , peptide sequence , mathematical analysis , programming language

Due to the existence of the loss of synchrony in cell-cycle data sets, standard clustering methods (e.g. k-means), which group open reading frames (ORFs) based on similar expression levels, are deficient unless the temporal pattern of the expression levels of the ORFs is taken into account.

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