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: 328.47 PLN
Availability: InStock

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

Autor: Michael Lecocke

Język:

Oprawa: Miękka

Wydawca: VDM Verlag Dr. Müller

Dostępność: Na zamówienie

Wysyłamy za 17-27 dni

328.47 zł

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

Informacje o książce

Autor

Michael Lecocke

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2008

strony

252

EAN

9783836475969

Enbook ID

06994552

Wydawca

VDM Verlag Dr. Müller

Waga

392

Wymiary

150 x 220 x 15

Pełny opis

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

Informacje o książce

Pełny opis

Możesz być zainteresowany

Klienci, którzy kupili tę książkę, kupili również