9780471226161 - Analyzing Microarray Gene Expression Data: 422 (Wiley Series in Probability and Statistics) de McLachlan, Geoffrey J.; Do, Kim-Anh; Ambroise, Christophe (28 resultados)

Hardcover. Condición: Very Good. Analyzing Microarray Gene Expression Data: 422 (Wiley Series in Probability and Statistics) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

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Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condición: New. pp. xx + 320 Index.

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Condición: New. pp. xx + 320 Illus.

Condición: New. pp. xx + 320.

Cartonato. Condición: new. West Sussex, 2004; hardback, cm 17x24,5. Libro.

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Hardcover. Condición: new. Hardcover. A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissuesExtensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologiesA model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samplesThe latest data cleaning and normalization proceduresThe uses of microarray expression data for providing important prognostic information on the outcome of disease A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. Condición: New. A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissuesExtensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologiesA model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samplesThe latest data cleaning and normalization proceduresThe uses of microarray expression data for providing important prognostic information on the outcome of disease.

Hardback. Condición: New. A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissuesExtensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologiesA model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samplesThe latest data cleaning and normalization proceduresThe uses of microarray expression data for providing important prognostic information on the outcome of disease.

Hardcover. Condición: Brand New. 1st edition. 352 pages. 9.50x6.50x1.00 inches. In Stock.

Hardcover. Condición: new. Hardcover. A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissuesExtensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologiesA model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samplesThe latest data cleaning and normalization proceduresThe uses of microarray expression data for providing important prognostic information on the outcome of disease A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardback. Condición: New. A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissuesExtensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologiesA model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samplesThe latest data cleaning and normalization proceduresThe uses of microarray expression data for providing important prognostic information on the outcome of disease.

Buch. Condición: Neu. Neuware - Emphasis on clustering of data of gene tissues\* Includes new research findings and activities in molecular biology\* Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both.

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Hardback. Condición: New. A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissuesExtensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologiesA model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samplesThe latest data cleaning and normalization proceduresThe uses of microarray expression data for providing important prognostic information on the outcome of disease.

Hardcover. Condición: new. Hardcover. A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissuesExtensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologiesA model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samplesThe latest data cleaning and normalization proceduresThe uses of microarray expression data for providing important prognostic information on the outcome of disease A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condición: New. A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Series: Wiley Series in Probability and Statistics. Num Pages: 352 pages, Illustrations (some col.). BIC Classification: PB; PSAK1; PSB. Category: (P) Professional & Vocational. Dimension: 245 x 168 x 27. Weight in Grams: 746. . 2004. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.

Condición: New. A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Series: Wiley Series in Probability and Statistics. Num Pages: 352 pages, Illustrations (some col.). BIC Classification: PB; PSAK1; PSB. Category: (P) Professional & Vocational. Dimension: 245 x 168 x 27. Weight in Grams: 746. . 2004. 1st Edition. hardcover. . . . .