Statistical Analysis of Gene Expression Microarray Data
Seiten
2003
Chapman & Hall/CRC (Verlag)
978-1-58488-327-2 (ISBN)
Chapman & Hall/CRC (Verlag)
978-1-58488-327-2 (ISBN)
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Written by pre-eminent world authorities in the field, this is a reference for the statistical analysis of genetic microarray data. Starting from the first steps of genetic microarray data analysis, this book covers the important topics and common methodologies for analyzing gene expression data.
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.
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.
Terry Speed
Model-Based Analysis of Oligonucleotide Arrays and Issues in cDNA Microarray Analysis. Design and Analysis of Comparative Microarray Experiments. Classification in Microarray Experiments. Clustering Microarray Data. References. Index.
| Erscheint lt. Verlag | 26.3.2003 |
|---|---|
| Reihe/Serie | Chapman & Hall/CRC Interdisciplinary Statistics |
| Zusatzinfo | 20 Tables, black and white; 48 Illustrations, color; 99 Illustrations, black and white |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 512 g |
| Themenwelt | Informatik ► Weitere Themen ► Bioinformatik |
| Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Medizin / Pharmazie | |
| Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
| ISBN-10 | 1-58488-327-8 / 1584883278 |
| ISBN-13 | 978-1-58488-327-2 / 9781584883272 |
| Zustand | Neuware |
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