Title: Exploring a Bioinformatics Clustering Algorithm: Methodology, Experiments, Analysis
Publisher: VDM Verlag
Publication Date: 2008
Language: English
ISBN 10: 3639033353
ISBN 13: 9783639033359
Binding: Soft cover
Condition: New

About this title

Synopsis

Microarray gene expression data are produced around the world in huge amounts. This data is not easy to analyse manually. Therefore, there is a need for automated techniques to do the job. Clustering is one of the automated techniques that can be handed to a computer to cluster the data to groups depending on properties that this data share. An important source of information for such automated techniques is the data about genes in large shared text databases such as Swiss-Prot. This book explores and evaluates MAXCCLUS, a bioinformatics clustering algorithm, which clusters genes from microarray experimental data. MAXCCLUS does the clustering of genes depending on the textual data that describe the genes. It attempts to create clusters of which it selects only the statistically significant ones by running a significance test. It then attempts to generalise these clusters by using a simple greedy generalisation algorithm. We explore the behaviour of MAXCCLUS by running several clustering experiments that investigate various modifications to MAXCCLUS and its data. This book should be useful to researchers and every one interested in clustering of microarray gene expression data.

About the Author

Mukhlis Matti; B.Sc. in Systems, Control, and Computer Technology Engineering, UOT; M.Sc. in Computer Science, VUW: Worked as a teaching assistant / tutor for 16 courses and as a researcher at Victoria University of Wellington, New Zealand. Also, assisted with the preparation of the Manual and Tutorials for the SimPy Python simulation package.

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