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Statistics for Microarrays: Design, Analysis and Inference - edition reliée, livre de poche

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Wit, Ernst; Mcclure, John D.:
Statistics for Microarrays : Design, Analysis and Inference - edition reliée, livre de poche

2004

ISBN: 0470849932

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Statistics for Microarrays - edition reliée, livre de poche

2004, ISBN: 9780470849934

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Statistics for Microarrays - edition reliée, livre de poche

2004, ISBN: 0470849932

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Statistics for Microarrays

Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data - from getting good data to obtaining meaningful results. * Provides an overview of statistics for microarrays, including experimental design, data preparation, image analysis, normalization, quality control, and statistical inference. * Features many examples throughout using real data from microarray experiments. * Computational techniques are integrated into the text. * Takes a very practical approach, suitable for statistically-minded biologists. * Supported by a Website featuring colour images, software, and data sets. Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.

Informations détaillées sur le livre - Statistics for Microarrays


EAN (ISBN-13): 9780470849934
ISBN (ISBN-10): 0470849932
Version reliée
Livre de poche
Date de parution: 2004
Editeur: John Wiley & Sons Inc
278 Pages
Poids: 0,526 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-02-10T06:08:58+01:00 (Paris)
Page de détail modifiée en dernier sur 2023-07-02T19:38:54+02:00 (Paris)
ISBN/EAN: 0470849932

ISBN - Autres types d'écriture:
0-470-84993-2, 978-0-470-84993-4
Autres types d'écriture et termes associés:
Auteur du livre: wit, ernst röhm, ernst john, hello ernst, mcclure, ernst ber
Titre du livre: statistics for microarrays design analysis inference


Données de l'éditeur

Auteur: Ernst Wit; John McClure
Titre: Statistics for Microarrays - Design, Analysis and Inference
Editeur: John Wiley & Sons
278 Pages
Date de parution: 2004-06-22
Poids: 0,530 kg
Langue: Anglais
112,00 € (DE)
No longer receiving updates
152mm x 229mm x 18mm

BB; gebunden; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Life Sciences; Biowissenschaften; Biostatistics; Statistik; Statistics; Biostatistik; Genetik; Genetics; Genetik; Biostatistik

Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data - from getting good data to obtaining meaningful results. * Provides an overview of statistics for microarrays, including experimental design, data preparation, image analysis, normalization, quality control, and statistical inference. * Features many examples throughout using real data from microarray experiments. * Computational techniques are integrated into the text. * Takes a very practical approach, suitable for statistically-minded biologists. * Supported by a Website featuring colour images, software, and data sets. Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.

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