Description |
1 online resource (viii, 416 pages, 10 unnumbered pages of plates) : illustrations (some color) |
Contents |
Front Matter; Microarray Image Analysis and Gene Expression Ratio Statistics; Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification; Sources of Variation in Microarray Experiments; Studentizing Microarray Data; Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains; Selecting Informative Genes for Cancer Classification Using Gene Expression Data; Finding Functional Structures in Ggioma Gene-Expressions Using Gene Shaving Clustering and MDL Principle; Design Issues and Comparison of Methods for Microarray-Based Classification |
Summary |
Computational and Statistical Approaches to Genomics, 2nd Edition, aims to help researchers deal with current genomic challenges. During the three years after the publication of the first edition of this book, the computational and statistical research in genomics have become increasingly more important and indispensable for understanding cellular behavior under a variety of environmental conditions and for tackling challenging clinical problems. In the first edition, the organizational structure was: data à analysis à synthesis à application. In the second edition, the same structure remains, but the chapters that primarily focused on applications have been deleted. This decision was motivated by several factors. Firstly, the main focus of this book is computational and statistical approaches in genomics research. Thus, the main emphasis is on methods rather than on applications. Secondly, many of the chapters already include numerous examples of applications of the discussed methods to current problems in biology. The range of topics have been broadened to include newly contributed chapters on topics such as alternative splicing, tissue microarray image and data analysis, single nucleotide polymorphisms, serial analysis of gene expression, and gene shaving. Additionally, a number of chapters have been updated or revised. This book is for any researcher, in academia and industry, in biology, computer science, statistics, or engineering involved in genomic problems. It can also be used as an advanced level textbook in a course focusing on genomic signals, information processing, or genome biology |
Bibliography |
Includes bibliographical references and index |
In |
Springer eBooks |
Subject |
Genomics -- Mathematical models
|
|
Genomics -- Statistical methods
|
|
Genomics -- Data processing
|
|
DNA microarrays.
|
|
Genomics -- statistics & numerical data
|
|
Models, Genetic
|
|
Oligonucleotide Array Sequence Analysis
|
|
SCIENCE -- Life Sciences -- Genetics & Genomics.
|
|
Biomédecine.
|
|
Sciences de la vie.
|
|
DNA microarrays
|
|
Genomics -- Data processing
|
|
Genomics -- Mathematical models
|
|
Genomics -- Statistical methods
|
Form |
Electronic book
|
Author |
Zhang, Wei, 1963 October 9-
|
|
Shmulevich, Ilya, 1969-
|
ISBN |
0387262873 |
|
0387262881 |
|
9780387262871 |
|
9780387262888 |
|