Speed Statistical Analysis of Gene Expression Microarray Data

Erscheinungsjahr 2003
ISBN: 978-1-135-44137-1
Verlag: Taylor & Francis
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