title: ISER: selection of differentially expressed genes from DNA array data by non-linear data transformations and local fitting.
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.
authors.affiliation: Laboratório de Genoma Funcional-Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Campinas 13083-875, PO Box 6010, Brazil.
authors.forename: R D
authors.initials: RD
authors.lastname: Drummond
authors.forename: A
authors.initials: A
authors.lastname: Pinheiro
authors.forename: C S
authors.initials: CS
authors.lastname: Rocha
authors.forename: M
authors.initials: M
authors.lastname: Menossi
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D030561:Databases, Nucleic Acid; D020869:Gene Expression Profiling / Q000706:statistics & numerical data; D017711:Nonlinear Dynamics; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data*; D012372:ROC Curve; D012984:Software