Connectionists: Book Announcement: Bioinformatics using Computational Intelligence Paradigms

[Udo Seiffert]

Dear Connectionists,

Please find attached an announcement of a new book on

   Bioinformatics using Computational Intelligence Paradigms

recently published by Springer.


Table of Contents:

Medical Bioinformatics: Detecting Molecular Diseases with Case-Based 
Reasoning
Ralf Hofestaedt and Thoralf Toepel

Prototype Based Recognition of Splice Sites
Barbara Hammer, Marc Strickert, and Thomas Villmann

Content Based Image Compression in Biomedical High-Throughput Screening 
Using Artificial Neural Networks
Udo Seiffert

Discriminative Clustering of Yeast Stress Response
Samuel Kaski, Janne Nikkilae, Eerika Savia, and Christophe Roos

A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle
Florence d'Alché Buc, Pierre-Jean Lahaye, Bruno-Edouard Perrin, Liva 
Ralaivola, Todor Vujasinovic, Aurélien Mazurie, and Samuele Bottani

Class Prediction with Microarray Datasets
Simon Rogers, Richard D. Williams, and Colin Campbell

Random Voronoi Ensembles for Gene Selection in DNA Microarray Data
Francesco Masulli and Stefano Rovetta

Cancer Classification with Microarray Data Using Support Vector Machines
Feng Chu and Lipo Wang

Artificial Neural Networks for Reducing the Dimensionality of Gene 
Expression Data
Ajit Narayanan, Alan Cheung, Jonas Gamalielsson, Ed Keedwell, and 
Christophe Vercellone


Further information may be obtained at:
http://www.springeronline.com/sgw/cda/frontpage/0,11855,5-147-22-37888088-0,00.html

For your convenience I add a suggestion for its BibTex entry:

@BOOK{SffJainSchw05,
   editor =       Udo Seiffert and Lakhmi C. Jain and Patrick Schweizer,
   title =        Bioinformatics using Computational Intelligence Paradigms,
   publisher =    Springer-Verlag,
   year =         2005,
   address =      Heidelberg,
   volume =       176,
   series =       Studies in Fuzziness and Soft Computing,
   ISBN =         3-540-22901-9,
   file = F
}


Kind regards,

Udo Seiffert