You might also like

More about Exploring a Bioinformatics Clustering Algorithm - Methodology, Experiments, Analysis

• Book details
• Synopsis
• Trending among others

You get 163 loyalty points

Book synopsis

Microarray gene expression data are produced around the worldin 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 toa computer to cluster the data to groups depending on propertiesthat this data share. An important source of information for suchautomated techniques is the data about genes in large shared textdatabases such as Swiss-Prot. This book explores and evaluatesMAXCCLUS, a bioinformatics clustering algorithm, which clustersgenes from microarray experimental data. MAXCCLUS does theclustering of genes depending on the textual data that describe thegenes. It attempts to create clusters of which it selects only thestatistically significant ones by running a significance test. Itthen attempts to generalise these clusters by using a simple greedygeneralisation algorithm. We explore the behaviour of MAXCCLUS byrunning several clustering experiments that investigate variousmodifications to MAXCCLUS and its data. This book should be usefulto researchers and every one interested in clustering of microarraygene expression data.

Book details

Book category Books in English Technology, engineering, agriculture Technology: general issues Engineering: general

• Full title: Exploring a Bioinformatics Clustering Algorithm - Methodology, Experiments, Analysis
• Author: Mukhlis Matti
• Language: English
• Binding: Paperback
• Number of pages: 172
• EAN: 9783639033359
• ISBN: 3639033353
• ID: 06813024
• Publisher: VDM Verlag Dr. Mueller E.K.
• Weight: 236 g
• Dimensions: 229 × 152 × 9 mm
• Date of publishing: 07. July 2008

Trending among others

---

---

---