New Book: Feature Selection and Ensemble Methods for Bioinformatics

machine learning applications for gene expression based cancer classification (many features but few data instances), including feature/gene selection, classifier ensembles, and classification performance evaluation for small-sample size problems.

Oleg Okun, Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations.
IGI Global, Hershey, PA, 2011

This is a book about machine learning applications to gene expression based cancer classification (many features but few data instances). Book topics cover feature/gene selection, data classification (single classifiers and classifier ensembles), and classification performance evaluation for small-sample size problems. Each chapter describes one machine learning algorithm and includes: the main idea behind that algorithm, all mathematics necessary for its understanding, algorithm details, pseudo-code and MATLAB code with comments. Despite of its title, all algorithms in the book can also be applied to other than cancer classification problems.

IGI offers a 40% discount on this book with IGI's Exclusive Discount Form.

Should you or your colleagues be interested in purchasing a copy of Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations , kindly send the completed form via fax to 717-533-7115 or via e-mail to marketing@igi-global.com. This exclusive discount also provides you with a 50% discount on five related books.