CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs

被引：55

作者：

Ao, SI

Yip, K

Ng, M ^{[1
]}

Cheung, D

Fong, PY

Melhado, I

Sham, PC

机构：

[1] Univ Hong Kong, Dept Math, Pokfulam, Hong Kong, Peoples R China

[2] Univ Hong Kong, Dept Comp Sci, Pokfulam, Hong Kong, Peoples R China

[3] Univ Hong Kong, Genome Res Ctr, Pokfulam, Hong Kong, Peoples R China

来源：

BIOINFORMATICS | 2005年 / 21卷 / 08期

关键词：

D O I：

10.1093/bioinformatics/bti201

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Cluster and set-cover algorithms are developed to obtain a set of tag single nucleotide polymorphisms (SNPs) that can represent all the known SNPs in a chromosomal region, subject to the constraint that all SNPs must have a squared correlation R-2 > C with at least one tag SNP, where C is specified by the user.

引用

页码：1735 / 1736

页数：2

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