The tspair package for finding top scoring pair classifiers in R

被引：31

作者：

Leek, Jeffrey T. ^{[1
]}

机构：

[1] Johns Hopkins Sch Med, Dept Oncol, Baltimore, MD 21287 USA

来源：

BIOINFORMATICS | 2009年 / 25卷 / 09期

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

BREAST-CANCER; TAMOXIFEN;

D O I：

10.1093/bioinformatics/btp126

中图分类号：

Q5 [生物化学];

学科分类号：

070307 [化学生物学];

摘要：

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.

引用

页码：1203 / 1204

页数：2

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