CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs

S. I. Ao; Kevin Yip; Michael Ng; David Cheung; Pui Yee Fong; Ian Melhado; Pak C. Sham

doi:10.1093/bioinformatics/bti201

CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs

S. I. Ao, Kevin Yip, Michael Ng^*, David Cheung, Pui Yee Fong, Ian Melhado, Pak C. Sham

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Journal article › peer-review

73 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1735-1736
Number of pages	2
Journal	Bioinformatics
Volume	21
Issue number	8
DOIs	https://doi.org/10.1093/bioinformatics/bti201
Publication status	Published - Apr 2005

Scopus Subject Areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/bti201

Cite this

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title = "CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs",

abstract = "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.",

author = "Ao, {S. I.} and Kevin Yip and Michael Ng and David Cheung and Fong, {Pui Yee} and Ian Melhado and Sham, {Pak C.}",

note = "The ENCODE data were downloaded from HAPMAP{\textquoteright}s site www.hapmap.org on June 30, 2004 and is based on NCBI build34. We thank the two anonymous reviewers for their constructive comments. The work is supported by small project grant to P.C.S. from the University of Hong Kong, and RGC grant nos HKU7130P, 7046P, 7035P to M.N. Publisher Copyright: {\textcopyright} The Author 2004",

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T1 - CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs

AU - Ao, S. I.

AU - Yip, Kevin

AU - Ng, Michael

AU - Cheung, David

AU - Fong, Pui Yee

AU - Melhado, Ian

AU - Sham, Pak C.

N1 - The ENCODE data were downloaded from HAPMAP’s site www.hapmap.org on June 30, 2004 and is based on NCBI build34. We thank the two anonymous reviewers for their constructive comments. The work is supported by small project grant to P.C.S. from the University of Hong Kong, and RGC grant nos HKU7130P, 7046P, 7035P to M.N. Publisher Copyright: © The Author 2004

PY - 2005/4

Y1 - 2005/4

N2 - 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.

AB - 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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DO - 10.1093/bioinformatics/bti201

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AN - SCOPUS:17444385286

SN - 1367-4803

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SP - 1735

EP - 1736

JO - Bioinformatics

JF - Bioinformatics

IS - 8

ER -

CLUSTAG: hierarchical clustering and graph methods for selecting tag SNPs

Abstract

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UN SDGs

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