Speed Statistical Analysis of Gene Expression Microarray Data

Erscheinungsjahr 2003
ISBN: 978-1-135-44137-1
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 240 Seiten

Reihe: Chapman & Hall/CRC Interdisciplinary Statistics

Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies. And there is arguably no group better qualified to do so than the authors of this book.

Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field. Under the editorship of Terry Speed, some of the world's most pre-eminent authorities have joined forces to present the tools, features, and problems associated with the analysis of genetic microarray data. These include:

- Model-based analysis of oligonucleotide arrays, including expression index computation, outlier detection, and standard error applications

- Design and analysis of comparative experiments involving microarrays, with focus on \ two-color cDNA or long oligonucleotide arrays on glass slides

- Classification issues, including the statistical foundations of classification and an overview of different classifiers

- Clustering, partitioning, and hierarchical methods of analysis, including techniques related to principal components and singular value decomposition

Although the technologies used in large-scale, high throughput assays will continue to evolve, statistical analysis will remain a cornerstone of their success and future development. Statistical Analysis of Gene Expression Microarray Data will help you meet the challenges of large, complex datasets and contribute to new methodological and computational advances.

Zielgruppe

Biologists and researchers in genomics/biotechnology companies; statisticians in bioinformatics and statistical genetics; graduate students in computational genomics, computational biology, and bioinformatics; computer scientists working in computational biology; biomathematicians

Autoren/Hrsg.

Speed, Terry

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Naturwissenschaften Biowissenschaften Biowissenschaften

Inhaltsverzeichnis

MODEL-BASED ANALYSIS OF OLIGONUCLEOTIDE ARRAYS AND ISSUES IN cDNA MICROARRAY ANALYSIS, Cheng Li, George C. Tseng, and Wing Hung Wong
Model-Based Analysis of Oligonucleotide Arrays
Issues in cDNA Microarray Analysis

Acknowledgments

DESIGN AND ANALYSIS OF COMPARATIVE MICROARRAY EXPERIMENTS, Yee Hwa Yang and Terry Speed
Introduction

Experimental Design

Two-Sample Comparisons

Single-Factor Experiments with more than Two Levels

Factorial Experiments

Some Topics for Further Research

CLASSIFICATION IN MICROARRAY EXPERIMENTS, \ Sandrine Dudoit and Jane Fridlyand
Introduction

Overview of Different Classifiers

General Issues in Classification
Performance Assessment

Aggregating Predictors

Datasets

Results

Discussion

Software and Datasets

Acknowledgments

CLUSTERING MICROARRAY DATA, Hugh Chipman, Trevor J. Hastie, and Robert Tibshirani
An Example

Dissimilarity

Clustering Methods

Partitioning Methods

Hierarchical Methods

Two-Way Clustering

Principal Components, the SVD, and Gene Shaving

Other Approaches

Software

REFERENCES
INDEX