Leek Jeffrey T
Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD 21287, USA.
Bioinformatics. 2009 May 1;25(9):1203-4. doi: 10.1093/bioinformatics/btp126. Epub 2009 Mar 10.
Top scoring pairs (TSPs) are pairs of genes whose relative rankings can be used to accurately classify individuals into one of two classes. TSPs have two main advantages over many standard classifiers used in gene expression studies: (i) a TSP is based on only two genes, which leads to easily interpretable and inexpensive diagnostic tests and (ii) TSP classifiers are based on gene rankings, so they are more robust to variation in technical factors or normalization than classifiers based on expression levels of individual genes. Here I describe the R package, tspair, which can be used to quickly identify and assess TSP classifiers for gene expression data.
The R package tspair is freely available from Bioconductor: http://www.bioconductor.org.
高分基因对（TSPs）是指那些基因对，其相对排名可用于将个体准确分类为两个类别之一。与基因表达研究中使用的许多标准分类器相比，TSPs有两个主要优点：（i）一个TSP仅基于两个基因，这使得诊断测试易于解释且成本低廉；（ii）TSP分类器基于基因排名，因此与基于单个基因表达水平的分类器相比，它们对技术因素或标准化中的变化更具鲁棒性。在此，我描述了R包tspair，它可用于快速识别和评估基因表达数据的TSP分类器。
R包tspair可从Bioconductor免费获取：http://www.bioconductor.org 。
