Uma Maheshwari, Santhosh Rebello

Soft Computing Methodologies for Cluster Analysis and Gene Prediction

Cluster Analysis using SOM and Gene Prediction using BPN and LVQ

• Broschiertes Buch

Produktbeschreibung

Soft computing deals with imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low solution cost. Soft computing covers a wide range of application areas, including optimisation, data analysis and data mining, computer graphics and vision, prediction and diagnosis, design, intelligent control, and traffic and transportation systems. Bioinformatics is the application of computer technology to the management and manipulation of biological information. Soft computing offers a promising approach to achieve efficient and reliable heuristic solution for the bioinformatics problem areas such as clustering, pattern recognition and prediction related domains. In this book, soft computing methodologies for cluster analysis of microarray data using Kohonen's Self Organising Maps and prediction of genes using Back Propagation Network and Learning Vector Quantization Network are discussed.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 56
• Erscheinungstermin: 11. März 2011
• Englisch
• Abmessung: 220mm x 150mm x 4mm
• Gewicht: 102g
• ISBN-13: 9783844317619
• ISBN-10: 3844317619
• Artikelnr.: 33204739

Autorenporträt

Uma Maheshwari is sinds 2007 docent Bio-informatica bij AIMIT, Mangalore, India. Santhosh Rebello is de decaan en voorzitter van BoS & BoE van de PG afdelingen Informatietechnologie bij AIMIT, Mangalore, India sinds 2005. Hun onderzoeksinteresses omvatten Soft Computing: Neurale netwerken, Fuzzy logic & Genetic Algorithms.