Exploring a Bioinformatics Clustering Algorithm - Methodology, Experiments, Analysis - Tapa blanda

Matti, Mukhlis

 
9783639033359: Exploring a Bioinformatics Clustering Algorithm - Methodology, Experiments, Analysis
Tapa blanda
ISBN 10: 3639033353 ISBN 13: 9783639033359
Editorial: VDM Verlag Dr. Mueller e.K., 2008

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
VDM Verlag Dr. Mueller e.K.
Año de publicación
2008
Idioma
Inglés
ISBN 10 
3639033353
ISBN 13 
9783639033359
Encuadernación
Tapa blanda
Número de páginas
172
Contacto del fabricante
no disponible
Persona responsable
no disponible