University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Microarray data clustering based on temporal variation: FCV with TSD preclustering.

Möller-Levet, CS, Cho, KH and Wolkenhauer, O (2003) Microarray data clustering based on temporal variation: FCV with TSD preclustering. Appl Bioinformatics, 2 (1). pp. 35-45.

Full text not available from this repository.

Abstract

The aim of this paper is to present a new clustering algorithm for short time-series gene expression data that is able to characterise temporal relations in the clustering environment (ie data-space), which is not achieved by other conventional clustering algorithms such as k -means or hierarchical clustering. The algorithm called fuzzy c -varieties clustering with transitional state discrimination preclustering (FCV-TSD) is a two-step approach which identifies groups of points ordered in a line configuration in particular locations and orientations of the data-space that correspond to similar expressions in the time domain. We present the validation of the algorithm with both artificial and real experimental datasets, where k -means and random clustering are used for comparison. The performance was evaluated with a measure for internal cluster correlation and the geometrical properties of the clusters, showing that the FCV-TSD algorithm had better performance than the k -means algorithm on both datasets.

Item Type: Article
Authors :
NameEmailORCID
Möller-Levet, CSUNSPECIFIEDUNSPECIFIED
Cho, KHUNSPECIFIEDUNSPECIFIED
Wolkenhauer, OUNSPECIFIEDUNSPECIFIED
Date : 2003
Uncontrolled Keywords : Algorithms, Cluster Analysis, Computer Simulation, Fuzzy Logic, Gene Expression Profiling, Models, Genetic, Oligonucleotide Array Sequence Analysis, Pattern Recognition, Automated, Time Factors
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 09:52
Last Modified : 17 May 2017 09:52
URI: http://epubs.surrey.ac.uk/id/eprint/825459

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800