analyzing microarray gene expression di mclachlan geoffrey (29 risultati)

Hardcover. Condizione: Very Good. Analyzing Microarray Gene Expression Data (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. .

Hardcover. Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.

Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Condizione: 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.

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

Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condizione: New. pp. xx + 320 Index.

Condizione: New. pp. xx + 320 Illus.

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

Condizione: New. pp. xx + 320.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: new.

Condizione: New.

Condizione: New. In.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. Die Analyse von Genexpressionsdaten aus Microarrays gewinnt sowohl für die Statistik als auch für die Wissenschaft immer größere Bedeutung. Die Methodologie zur Untersuchung "bereinigter Daten" ist ein wesentlicher Aspekt dieses Bereiches. "Analyzing Microarray Gene Expression Data" erläutert umfassend die Methodologie, die zur Analyse von Genexpressionsdaten mit Microarrays notwendig ist und geht auch ausführlich auf die Bereinigung dieser Daten ein. Der Schwerpunkt liegt auf dem Clustering von genetischem Datenmaterial. Der Band diskutiert aktuellste Forschungsergebnisse und -aktivitäten im Bereich Molekularbiologie. Darüber hinaus geht er auch auf den wichtigen allgemeinen Bereich der Bioinformatik und Genomik ein und erläutert, welche Auswirkungen die Microarray-Analyse auf diese Disziplinen hat.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condizione: 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.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. Die Analyse von Genexpressionsdaten aus Microarrays gewinnt sowohl für die Statistik als auch für die Wissenschaft immer größere Bedeutung. Die Methodologie zur Untersuchung "bereinigter Daten" ist ein wesentlicher Aspekt dieses Bereiches. "Analyzing Microarray Gene Expression Data" erläutert umfassend die Methodologie, die zur Analyse von Genexpressionsdaten mit Microarrays notwendig ist und geht auch ausführlich auf die Bereinigung dieser Daten ein. Der Schwerpunkt liegt auf dem Clustering von genetischem Datenmaterial. Der Band diskutiert aktuellste Forschungsergebnisse und -aktivitäten im Bereich Molekularbiologie. Darüber hinaus geht er auch auf den wichtigen allgemeinen Bereich der Bioinformatik und Genomik ein und erläutert, welche Auswirkungen die Microarray-Analyse auf diese Disziplinen hat.

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

Hardcover. Condizione: 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. Condizione: New. Die Analyse von Genexpressionsdaten aus Microarrays gewinnt sowohl für die Statistik als auch für die Wissenschaft immer größere Bedeutung. Die Methodologie zur Untersuchung "bereinigter Daten" ist ein wesentlicher Aspekt dieses Bereiches. "Analyzing Microarray Gene Expression Data" erläutert umfassend die Methodologie, die zur Analyse von Genexpressionsdaten mit Microarrays notwendig ist und geht auch ausführlich auf die Bereinigung dieser Daten ein. Der Schwerpunkt liegt auf dem Clustering von genetischem Datenmaterial. Der Band diskutiert aktuellste Forschungsergebnisse und -aktivitäten im Bereich Molekularbiologie. Darüber hinaus geht er auch auf den wichtigen allgemeinen Bereich der Bioinformatik und Genomik ein und erläutert, welche Auswirkungen die Microarray-Analyse auf diese Disziplinen hat.

Hardback. Condizione: New. Die Analyse von Genexpressionsdaten aus Microarrays gewinnt sowohl für die Statistik als auch für die Wissenschaft immer größere Bedeutung. Die Methodologie zur Untersuchung "bereinigter Daten" ist ein wesentlicher Aspekt dieses Bereiches. "Analyzing Microarray Gene Expression Data" erläutert umfassend die Methodologie, die zur Analyse von Genexpressionsdaten mit Microarrays notwendig ist und geht auch ausführlich auf die Bereinigung dieser Daten ein. Der Schwerpunkt liegt auf dem Clustering von genetischem Datenmaterial. Der Band diskutiert aktuellste Forschungsergebnisse und -aktivitäten im Bereich Molekularbiologie. Darüber hinaus geht er auch auf den wichtigen allgemeinen Bereich der Bioinformatik und Genomik ein und erläutert, welche Auswirkungen die Microarray-Analyse auf diese Disziplinen hat.

Hardcover. Condizione: 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.

Condizione: 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.

Condizione: 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. . . . .