The analysis of gene expression data
Subtitle: methods and software
By: Giovanni Parmigiani ... [et al.] editors.
Contributors: Parmigiani, G.
Series: Statistics for biology and health
Publisher: Springer-Verlag
Published: 2003
Place of publication: New York
Language: eng
Number of pages: 455
Subjects: DNA microarrays; Gene expression -- Research -- Methodology; Gene expression -- Data processing
Description: This book presents practical approaches for the analysis of data from gene expression microarrays. Each chapter describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. Methods cover all aspects of statistical analysis of microarrays, from annotation and filtering to clustering and classification. Chapters are written by the developers of the software. All software packages described are free to academic users. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences. Some chapters describe simple menu-driven software in a user-friendly fashion, and are designed to be accessible to microarray data analysts without formal quantitative training. Most chapters are directed at microarray data analysts with master-level training in computer science, biostatistics or bioinformatics. A minority of more advanced chapters are intended for doctoral students and researchers.
Notes: Includes bibliographical references and index.