amaratunga dhammika (8 Ergebnisse)

Zustand: New. In.

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

Zustand: New. pp. xiv + 246 Illus.

Taschenbuch. Zustand: 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. Zustand: 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.

Zustand: 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.

Zustand: 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.

Gebunden. Zustand: New. Featuring new information on interpretation of findings, class prediction, ABC clustering, limma for mixed models, biclustering, mass spectrometry, tracking Spearman correlations, and more, this extremely well written (Journal of Environmental Quality) bo.