Shortcuts
Top of page (Alt+0)
Page content (Alt+9)
Page menu (Alt+8)
Your browser does not support javascript, some WebOpac functionallity will not be available.
.
Default
.
PageMenu
-
Main Menu
-
Simple Search
.
Advanced Search
.
Journal Search
.
Refine Search Results
.
Preferences
.
Search Menu
Simple Search
.
Advanced Search
.
New Items Search
.
Journal Search
.
Refine Search Results
.
Bottom Menu
Help
Italian
.
English
.
German
.
New Item Menu
New Items Search
.
New Items List
.
Links
SISSA Library
.
ICTP library
.
Italian National web catalog (SBN)
.
Trieste University web catalog
.
Udine University web catalog
.
© LIBERO v6.4.1sp220816
Page content
You are here
:
Catalogue Display
Catalogue Display
Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data
.
Bookmark this Record
Catalogue Record 28720
.
.
Author info on Wikipedia
.
.
LibraryThing
.
.
Google Books
.
.
Amazon Books
.
Catalogue Information
Catalogue Record 28720
.
Reviews
Catalogue Record 28720
.
British Library
Resolver for RSN-28720
Google Scholar
Resolver for RSN-28720
WorldCat
Resolver for RSN-28720
Catalogo Nazionale SBN
Resolver for RSN-28720
GoogleBooks
Resolver for RSN-28720
ICTP Library
Resolver for RSN-28720
.
Share Link
Jump to link
Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R (EB) : Order-Restricted Analysis of Microarray Data / edited by Dan Lin, Ziv Shkedy, Daniel Yekutieli, Dhammika Amaratunga, Luc Bijnens.
Author
Lin, Dan
Added Personal Name
Shkedy, Ziv
Yekutieli, Daniel
Amaratunga, Dhammika
Bijnens, Luc
Other name(s)
SpringerLink (Online service)
Publication
Berlin, Heidelberg : Springer
, 2012.
Physical Details
XV, 282 pages : 96 illus., 4 illus. in color. : online resource.
Series
Use R
ISBN
9783642240072
Summary Note
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 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 the likelihood ratio test and non-linear parametric models, which are used in the second part of the book. Part II is the core of the book. Methodological topics discussed include: Multiplicity adjustment Test statistics and testing procedures for the analysis of dose-response microarray data Resampling-based inference and use of the SAM method at the presence of 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 Hierarchical Bayesian models and non-linear models for dose-response microarray data Multiple contrast tests All methodological issues in the book are illustrated using four âreal-worldâ examples of dose-response microarray datasets from early drug development experiments.:
Contents note
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.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-642-24007-2
Links to Related Works
Subject References:
Bioinformatics
.
Biology
.
Biostatistics
.
Computer Appl. in Life Sciences
.
Mathematical Statistics
.
Pharmaceutical Sciences/Technology
.
Pharmaceutical technology
.
Statistical methods
.
Statistics
.
Authors:
Amaratunga, Dhammika
.
Bijnens, Luc
.
editor
.
Lin, Dan
.
Shkedy, Ziv
.
Yekutieli, Daniel
.
Corporate Authors:
SpringerLink (Online service)
.
Series:
Use R
.
Classification:
519.5
.
.
ISBD Display
Catalogue Record 28720
.
Tag Display
Catalogue Record 28720
.
Related Works
Catalogue Record 28720
.
Marc XML
Catalogue Record 28720
.
Add Title to Basket
Catalogue Record 28720
.
Catalogue Information 28720
Beginning of record
.
Catalogue Information 28720
Top of page
.
Download Title
Catalogue Record 28720
Export
This Record
As
Labelled Format
Bibliographic Format
ISBD Format
MARC Format
MARC Binary Format
MARCXML Format
User-Defined Format:
Title
Author
Series
Publication Details
Subject
To
File
Email
Reviews
This item has not been rated.
Add a Review and/or Rating
28720
1
28720
-
2
28720
-
3
28720
-
4
28720
-
5
28720
-
Quick Search
Search for