Identifying genes from up-down properties of microarray expression series | Zendy

Karen Willbrand | Zendy; François Radvanyi | Zendy; JeanPierre Nadal | Zendy; Jean Paul Thiery | Zendy; Thomas Fink | Zendy

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Identifying genes from up-down properties of microarray expression series

Author(s) -

Karen Willbrand,

François Radvanyi,

JeanPierre Nadal,

Jean Paul Thiery,

Thomas Fink

Publication year - 2005

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/bti549

Subject(s) - microarray , microarray analysis techniques , gene , expression (computer science) , dna microarray , function (biology) , series (stratigraphy) , benchmark (surveying) , gene expression , computational biology , biology , table (database) , genetics , gene chip analysis , sequence (biology) , computer science , algorithm , data mining , paleontology , geodesy , programming language , geography

We consider any collection of microarrays that can be ordered to form a progression; for example, as a function of time, severity of disease or dose of a stimulant. By plotting the expression level of each gene as a function of time, or severity, or dose, we form an expression series, or curve, for each gene. While most of these curves will exhibit random fluctuations, some will contain a pattern, and these are the genes that are most likely associated with the quantity used to order them.

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