ISER: selection of differentially expressed genes from DNA array data by non-linear data transformations and local fitting

被引：8

作者：

Drummond, RD

Pinheiro, A

Rocha, CS

Menossi, M

机构：

[1] Univ Fed Campinas, Lab Genoma Func, Ctr Biol Mol & Engn Genet, BR-13083875 Campinas, SP, Brazil

[2] Univ Estadual Campinas, Inst Matemat Estatist & Computacao Cientif, Dept Estatist, BR-13083859 Campinas, SP, Brazil

[3] Univ Estadual Campinas, Inst Biol, Dept Genet & Evolucao, BR-13083971 Campinas, SP, Brazil

来源：

BIOINFORMATICS | 2005年 / 21卷 / 24期

基金：

巴西圣保罗研究基金会;

关键词：

D O I：

10.1093/bioinformatics/bti729

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

This report describes an algorithm (intensity-dependent selection of expression ratios or ISER) developed to analyse DNA array data by optimizing the selection of genes with the most significant variations in expression amongst two RNA samples. The algorithm is designed for use when little or no replication of array hybridizations is available.

引用

收藏

页码：4427 / 4429

页数：3

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