amaratunga dhammika (32 risultati)

Hardcover. Condizione: Near Fine. No Jacket. 0471273988. Pictorial board hardcover, from closed pharmaceutical company library. Lending record shows this book has been borrowed once only. 272 pages, index, illustrated with charts, tables and diagrams. Contents clean, tight and bright. Book.

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Tapa blanda. Condizione: Como nuevo. Los beneficios de la venta de este libro se dirigen en un 100% a proyectos a favor de personas en exclusion social.

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Paperback. Condizione: Brand New. 2012 edition. 297 pages. 9.00x6.00x0.50 inches. In Stock.

Condizione: New. pp. xiv + 246.

Condizione: New. pp. xiv + 246 Illus.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics graduate students.Part I of the book is an introduction, in which we discuss the dose-response setting and the problem of estimating normal means under order restrictions. In particular, we discuss the pooled-adjacent-violator (PAV) algorithm and isotonic regression, as well as inference under order restrictions and non-linear parametric models, which are used in the second part of the book.Part II is the core of the book, in which we focus on the analysis of dose-response microarray data. Methodological topics discussed include:- Multiplicity adjustment- Test statistics and procedures for the analysis of dose-response microarray data- Resampling-based inference and use of the SAM method for small-variance genes in the data- Identification and classification of dose-response curve shapes- Clustering of order-restricted (but not necessarily monotone) dose-response profiles- Gene set analysis to facilitate the interpretation of microarray results- Hierarchical Bayesian models and Bayesian variable selection- Non-linear models for dose-response microarray data- Multiple contrast tests- Multiple confidence intervals for selected parameters adjusted for the false coverage-statement rateAll methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments.

Taschenbuch. Condizione: Neu. Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R | Order-Restricted Analysis of Microarray Data | Dan Lin (u. a.) | Taschenbuch | xv | Englisch | 2012 | Springer | EAN 9783642240065 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condizione: Gut. Zustand: Gut | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics graduate students.Part I of the book is an introduction, in which we discuss the dose-response setting and the problem of estimating normal means under order restrictions. In particular, we discuss the pooled-adjacent-violator (PAV) algorithm and isotonic regression, as well as inference under order restrictions and non-linear parametric models, which are used in the second part of the book.Part II is the core of the book, in which we focus on the analysis of dose-response microarray data. Methodological topics discussed include:¿             Multiplicity adjustment¿             Test statistics and procedures for the analysis of dose-response microarray data¿             Resampling-based inference and use of the SAM method for small-variance genes in the data¿             Identification and classification of dose-response curve shapes¿             Clustering of order-restricted (but not necessarily monotone) dose-response profiles¿             Gene set analysis to facilitate the interpretation of microarray results¿             Hierarchical Bayesian models and Bayesian variable selection¿             Non-linear models for dose-response microarray data¿             Multiple contrast tests¿             Multiple confidence intervals for selected parameters adjusted for the false coverage-statement rateAll methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments.

Hardcover. Condizione: new. Hardcover. Praise for the First Edition extremely well writtena comprehensive and up-to-date overview of this important field. Journal of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data in biomedical research and offers an overview of the modern techniques used in microarray technology to study patterns of gene activity. The new edition answers the need for an efficient outline of all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Utilizing research and experience from highly-qualified authors in fields of data analysis, Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition features: A new chapter on the interpretation of findings that includes a discussion of signatures and material on gene set analysis, including network analysisNew topics of coverage including ABC clustering, biclustering, partial least squares, penalized methods, ensemble methods, and enriched ensemble methodsUpdated exercises to deepen knowledge of the presented material and provide readers with resources for further study The book is an ideal reference for scientists in biomedical and genomics research fields who analyze DNA microarrays and protein array data, as well as statisticians and bioinformatics practitioners. Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition is also a useful text for graduate-level courses on statistics, computational biology, and bioinformatics. This new edition answers the need for a comprehensive, cutting-edge overview of this important and emerging field effectively outlining all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condizione: New. This new edition answers the need for a comprehensive, cutting-edge overview of this important and emerging field effectively outlining all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Series: Wiley Series in Probability and Statistics. Num Pages: 344 pages, illustrations. BIC Classification: PBT; PSAK1. Category: (P) Professional & Vocational. Dimension: 242 x 157 x 23. Weight in Grams: 592. . 2014. 2nd Edition. Hardcover. . . . .

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Condizione: New. This new edition answers the need for a comprehensive, cutting-edge overview of this important and emerging field effectively outlining all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Series: Wiley Series in Probability and Statistics. Num Pages: 344 pages, illustrations. BIC Classification: PBT; PSAK1. Category: (P) Professional & Vocational. Dimension: 242 x 157 x 23. Weight in Grams: 592. . 2014. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Condizione: new. Hardcover. Praise for the First Edition extremely well writtena comprehensive and up-to-date overview of this important field. Journal of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data in biomedical research and offers an overview of the modern techniques used in microarray technology to study patterns of gene activity. The new edition answers the need for an efficient outline of all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Utilizing research and experience from highly-qualified authors in fields of data analysis, Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition features: A new chapter on the interpretation of findings that includes a discussion of signatures and material on gene set analysis, including network analysisNew topics of coverage including ABC clustering, biclustering, partial least squares, penalized methods, ensemble methods, and enriched ensemble methodsUpdated exercises to deepen knowledge of the presented material and provide readers with resources for further study The book is an ideal reference for scientists in biomedical and genomics research fields who analyze DNA microarrays and protein array data, as well as statisticians and bioinformatics practitioners. Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition is also a useful text for graduate-level courses on statistics, computational biology, and bioinformatics. This new edition answers the need for a comprehensive, cutting-edge overview of this important and emerging field effectively outlining all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Hardcover. Condizione: new. Hardcover. Praise for the First Edition extremely well writtena comprehensive and up-to-date overview of this important field. Journal of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data in biomedical research and offers an overview of the modern techniques used in microarray technology to study patterns of gene activity. The new edition answers the need for an efficient outline of all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Utilizing research and experience from highly-qualified authors in fields of data analysis, Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition features: A new chapter on the interpretation of findings that includes a discussion of signatures and material on gene set analysis, including network analysisNew topics of coverage including ABC clustering, biclustering, partial least squares, penalized methods, ensemble methods, and enriched ensemble methodsUpdated exercises to deepen knowledge of the presented material and provide readers with resources for further study The book is an ideal reference for scientists in biomedical and genomics research fields who analyze DNA microarrays and protein array data, as well as statisticians and bioinformatics practitioners. Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition is also a useful text for graduate-level courses on statistics, computational biology, and bioinformatics. This new edition answers the need for a comprehensive, cutting-edge overview of this important and emerging field effectively outlining all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic for early drug development experiments and to provide user-friendly R packages that can be used to analyze this data. It is intended for biostatisticians and bioinformaticians in the pharmaceutical industry, biologists, and biostatistics/bioinformatics graduate students.Part I of the book is an introduction, in which we discuss the dose-response setting and the problem of estimating normal means under order restrictions. In particular, we discuss the pooled-adjacent-violator (PAV) algorithm and isotonic regression, as well as inference under order restrictions and non-linear parametric models, which are used in the second part of the book.Part II is the core of the book, in which we focus on the analysis of dose-response microarray data. Methodological topics discussed include:- Multiplicity adjustment- Test statistics and procedures for the analysis of dose-response microarray data- Resampling-based inference and use of the SAM method for small-variance genes in the data- Identification and classification of dose-response curve shapes- Clustering of order-restricted (but not necessarily monotone) dose-response profiles- Gene set analysis to facilitate the interpretation of microarray results- Hierarchical Bayesian models and Bayesian variable selection- Non-linear models for dose-response microarray data- Multiple contrast tests- Multiple confidence intervals for selected parameters adjusted for the false coverage-statement rateAll methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments. 300 pp. Englisch.