ISER：通过非线性数据变换和局部拟合从DNA阵列数据中选择差异表达基因。
ISER: selection of differentially expressed genes from DNA array data by non-linear data transformations and local fitting.
作者信息
Drummond R D, Pinheiro A, Rocha C S, Menossi M
机构信息
Laboratório de Genoma Funcional-Centro de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas, Campinas 13083-875, PO Box 6010, Brazil.
出版信息
Bioinformatics. 2005 Dec 15;21(24):4427-9. doi: 10.1093/bioinformatics/bti729. Epub 2005 Oct 25.
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.
摘要
本报告描述了一种算法（强度依赖性表达比值选择算法或ISER），该算法通过优化在两个RNA样本中表达差异最为显著的基因的选择来分析DNA阵列数据。该算法设计用于几乎没有或根本没有阵列杂交重复样本的情况。
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