Document Type

Journal Article

Department/Unit

Department of Mathematics

Title

SKM-SNP: SNP markers detection method

Language

English

Abstract

SKM-SNP, SNP markers detection program, is proposed to identify a set of relevant SNPs for the association between a disease and multiple marker genotypes. We employ a subspace categorical clustering algorithm to compute a weight for each SNP in the group of patient samples and the group of normal samples, and use the weights to identify the subsets of relevant SNPs that categorize these two groups. The experiments on both Schizophrenia and Parkinson Disease data sets containing genome-wide SNPs are reported to demonstrate the program. Results indicate that our method can find some relevant SNPs that categorize the disease samples. The online SKM-SNP program is available at http://www.math.hkbu.edu.hk/~mng/SKM-SNP/SKM-SNP.html. © 2009 Elsevier Inc. All rights reserved.

Keywords

K-mode, Single nucleotide polymorphism, SKM-SNP, Subspace clustering

Publication Date

2010

Source Publication Title

Journal of Biomedical Informatics

Volume

43

Issue

2

Start Page

233

End Page

239

Publisher

Elsevier

DOI

10.1016/j.jbi.2009.11.004

Link to Publisher's Edition

http://dx.doi.org/10.1016/j.jbi.2009.11.004

ISSN (print)

15320464

ISSN (electronic)

15320480

This document is currently not available here.

Share

COinS