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

R D Drummond; A Pinheiro; C S Rocha; M Menossi

doi:10.1093/bioinformatics/bti729

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

Bioinformatics. 2005 Dec 15;21(24):4427-9. doi: 10.1093/bioinformatics/bti729. Epub 2005 Oct 25.

Authors

R D Drummond¹, A Pinheiro, C S Rocha, M Menossi

Affiliation

¹ Laboratório de Genoma Funcional-Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Campinas 13083-875, PO Box 6010, Brazil.

PMID: 16249264
DOI: 10.1093/bioinformatics/bti729

Abstract

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Computational Biology
Databases, Nucleic Acid
Gene Expression Profiling / statistics & numerical data
Nonlinear Dynamics
Oligonucleotide Array Sequence Analysis / statistics & numerical data*
ROC Curve
Software