Large scale data mining approach for gene-specific standardization of microarray gene expression data | Zendy

Sukjoon Yoon | Zendy; Young Yang | Zendy; Jiwon Choi | Zendy; Jeeweon Seong | Zendy

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Large scale data mining approach for gene-specific standardization of microarray gene expression data

Author(s) -

Sukjoon Yoon,

Young Yang,

Jiwon Choi,

Jeeweon Seong

Publication year - 2006

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/btl500

Subject(s) - microarray databases , identification (biology) , microarray analysis techniques , breast cancer , data mining , dna microarray , gene expression profiling , microarray , computational biology , gene chip analysis , computer science , gene , biology , gene expression , bioinformatics , cancer , genetics , botany

The identification of the change of gene expression in multifactorial diseases, such as breast cancer is a major goal of DNA microarray experiments. Here we present a new data mining strategy to better analyze the marginal difference in gene expression between microarray samples. The idea is based on the notion that the consideration of gene's behavior in a wide variety of experiments can improve the statistical reliability on identifying genes with moderate changes between samples.

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