Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R : Order-Restricted Analysis of Microarray Data
This book focuses on the analysis of dose-response microarray data in pharmaceutical setting, the goal being to cover this important topic for early drug development and to provide user-friendly R packages that can be used to analyze dose-response microarray data. It is intended for biostatisticians...
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| Другие авторы: | , , , , |
|---|---|
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Редактирование: | 1st ed. 2012. |
| Серии: | Use R!
|
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R, Texte imprimé, 9783642240065 • Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R, Texte imprimé, 9783642240089 • Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R, Texte imprimé, 9783642240065 |
Оглавление:
- Introduction Part I: Dose-response Modeling: An Introduction Estimation Under Order Restrictions The Likelihood Ratio Test Part II: Dose-response Microarray Experiments Functional Genomic Dose-response Experiments Adjustment for Multiplicity Test for Trend Order Restricted Bisclusters Classification of Trends in Dose-response Microarray Experiments Using Information Theory Selection Methods Multiple Contrast Test Confidence Intervals for the Selected Parameters Case Study Using GUI in R: Gene Expression Analysis After Acute Treatment With Antipsychotics