Dan Lin; Ziv Shkedy; Daniel Yekutieli; Dhammika Amaratunga; Luc Bijnens: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - neues Buch
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 p… Mehr…
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 rate All methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments. Books > Statistics eBook, Springer Shop<
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Jonathan Aitchison: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R : Order-Restricted Analysis of Microarray Data - neues Buch
This volume provides user-friendly software and a GUI package to assist with microarray data analysis in early drug development. Each methodological issue is illustrated using real-world … Mehr…
This volume provides user-friendly software and a GUI package to assist with microarray data analysis in early drug development. Each methodological issue is illustrated using real-world examples of early drug development dose-response microarray experiments.; PDF; Scientific, Technical and Medical > Other branches of medicine > Pharmacology, Birkhauser Basel<
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Dan Lin; Dan Lin; Ziv Shkedy; Ziv Shkedy; Daniel Yekutieli; Daniel Yekutieli; Dhammika Amaratunga; Dhammika Amaratunga; Luc Bijnens; Luc Bijnens: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - Erstausgabe
Dan Lin; Ziv Shkedy; Daniel Yekutieli; Dhammika Amaratunga; Luc Bijnens: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - neues Buch
Dan Lin; Ziv Shkedy; Daniel Yekutieli; Dhammika Amaratunga; Luc Bijnens: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - neues Buch
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 p… Mehr…
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 rate All methodological issues in the book are illustrated using real-world examples of dose-response microarray datasets from early drug development experiments. Books > Statistics eBook, Springer Shop<
new in stock. Versandkosten:zzgl. Versandkosten. (EUR 0.00)
This volume provides user-friendly software and a GUI package to assist with microarray data analysis in early drug development. Each methodological issue is illustrated using real-world … Mehr…
This volume provides user-friendly software and a GUI package to assist with microarray data analysis in early drug development. Each methodological issue is illustrated using real-world examples of early drug development dose-response microarray experiments.; PDF; Scientific, Technical and Medical > Other branches of medicine > Pharmacology, Birkhauser Basel<
No. 9783642240072. Versandkosten:Instock, Despatched same working day before 3pm, zzgl. Versandkosten.
Dan Lin; Dan Lin; Ziv Shkedy; Ziv Shkedy; Daniel Yekutieli; Daniel Yekutieli; Dhammika Amaratunga; Dhammika Amaratunga; Luc Bijnens; Luc Bijnens: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - Erstausgabe
Dan Lin; Ziv Shkedy; Daniel Yekutieli; Dhammika Amaratunga; Luc Bijnens: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - neues Buch
Dan Lin; Ziv Shkedy; Daniel Yekutieli; Dhammika Amaratunga; Luc Bijnens: Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - neues Buch
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Buch in der Datenbank seit 2012-12-26T16:55:03+01:00 (Berlin) Detailseite zuletzt geändert am 2023-10-16T22:37:20+02:00 (Berlin) ISBN/EAN: 3642240070
ISBN - alternative Schreibweisen: 3-642-24007-0, 978-3-642-24007-2 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: dhammika, aitchison Titel des Buches: dos, experiments experiment, döse, development
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Autor/in: Dan Lin; Ziv Shkedy; Daniel Yekutieli; Dhammika Amaratunga; Luc Bijnens Titel: Use R! Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R - Order-Restricted Analysis of Microarray Data Verlag: Springer; Springer Berlin 282 Seiten Erscheinungsjahr: 2012-08-27 Berlin; Heidelberg; DE Sprache: Englisch 53,49 € (DE) 55,00 € (AT) 59,00 CHF (CH) Available XV, 282 p. 96 illus., 4 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Dose-response microarray data; Estimation and inference under order restrictions; Gene expression; R; C; Statistics; Statistics and Computing; Pharmaceutics; Biostatistics; Bioinformatics; Computational and Systems Biology; Mathematics and Statistics; Mathematische und statistische Software; Medizinische Chemie, Pharmazeutische Chemie; DV-gestützte Biologie/Bioinformatik; BC
All methodological issues in the book are illustrated using four “real-world” examples of dose-response microarray datasets from early drug development experiments. This book focuses on the analysis of microarray data in the dose-response setting in early drug development experiments in the pharmaceutical industry Part I discusses the dose-response setting and the problem of estimation of normal means under order restrictions Part II demonstrates the use of the IsoGene R library and in particular its graphical capacity
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