Open AccessCLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs
Author(s) -
S.I. Ao,
Kevin Y. Yip,
Michael K. Ng,
David W. Cheung,
P Y Fong,
I. Melhado,
Pak C. Sham
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti201
Subject(s) - cluster analysis , hierarchical clustering , computer science , computational biology , artificial intelligence , biology
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 R2>C with at least one tag SNP, where C is specified by the user.
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