Feature Selection and Binary Classification Using Microarray Data

Name: Feature Selection and Binary Classification Using Microarray Data
Brand: VDM Verlag Dr. Müller
SKU: 9783836475969
Price: 81.44 EUR
Availability: InStock

Background, Methods, and Comparison of Classifiers Using Univariate and Genetic Algorithm-Based Feature Selection and Supervised Learning Techniques

Автор: Michael Lecocke

Език:

Корици: С меки корици

Издател: VDM Verlag Dr. Müller

Наличност: Налично при издателя, по поръчка

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DNA microarray technology has greatly influenced the realms of biomedical research, with the hopes o...

Информация за книгата

Автор

Michael Lecocke

Език

Английски език

Корици

Книга - С меки корици

Издадена

2008

страници

252

EAN

9783836475969

Enbook ID

06994552

Издател

VDM Verlag Dr. Müller

Теглоt

392

Размери

150 x 220 x 15

Пълно описание

DNA microarray technology has greatly influenced the realms of biomedical research, with the hopes of significantly impacting the diagnosis and treatment of diseases. Microarrays have the ability to measure the expression levels of thousands of genes simultaneously. This research entails a rigorous and systematic comparison of statistical classifiers composed of supervised learning methods and either univariate or genetic algorithm-based multivariate feature subset selection (FSS) techniques, all applied to six published two-class microarray datasets. §These analyses should provide insights into univariate vs. multivariate FSS and how to obtain realistic and honest misclassification error rates via cross-validation (CV). Ultimately, this research puts to test the more traditional implementations of CV and FSS and provides a solid foundation on which these topics can and should be further investigated when performing limited-sample classification using high-dimensional gene expression data. §The analyses presented should be especially useful to researchers in the fields of bioinformatics, supervised learning, and variable selection, as well as anyone interested in microarray analysis.

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Feature Selection and Binary Classification Using Microarray Data

Background, Methods, and Comparison of Classifiers Using Univariate and Genetic Algorithm-Based Feature Selection and Supervised Learning Techniques

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също