Please use this identifier to cite or link to this item:
Title: A new clustering method for microarray data analysis.
Authors: Zhang, L. 
Zhu, S.
Issue Date: 2002
Citation: Zhang, L.,Zhu, S. (2002). A new clustering method for microarray data analysis.. Proc IEEE Comput Soc Bioinform Conf 1 : 268-275. ScholarBank@NUS Repository.
Abstract: A novel clustering approach is introduced to overcome data missing and inconsistency of gene expression levels under different conditions in the stage of clustering. It is based on the so-called smooth score, which is defined for measuring the deviation of the expression level of a gene and the average expression level of all the genes involved under a condition. We present an efficient greedy algorithm for finding clusters with smooth score below a threshold after studying its computational complexity. The algorithm was tested intensively on random matrixes and a yeast data. It was shown to perform well in finding co-regulation patterns in a test with the yeast data.
Source Title: Proc IEEE Comput Soc Bioinform Conf
ISSN: 15553930
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Oct 19, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.