Format:
xix, 590 p.
,
ill.
Edition:
1st ed.
ISBN:
9780080930985
Series Statement:
Handbook of statistics 28
Content:
The field of statistics not only affects all areas of scientific activity, but also many other matters such as public policy. It is branching rapidly into so many different subjects that a series of handbooks is the only way of comprehensively presenting the various aspects of statistical methodology, applications, and recent developments. The Handbook of Statistics, a series of self-contained reference books. Each volume is devoted to a particular topic in statistics with Volume 28 dealing with bioinformatics. Every chapter is written by prominent workers in the area to which the volume is devoted. The series is addressed to the entire community of statisticians and scientists in various disciplines who use statistical methodology in their work. At the same time, special emphasis is placed on applications-oriented techniques, with the applied statistician in mind as the primary audience. Comprehensively presents the various aspects of statistical methodology Discusses a wide variety of diverse applications and recent developments Contributors are internationally renowned experts in their respective areas.
Content:
Intro -- Handbook of Statistics -- Copyright -- Table of Contents -- Preface -- Contributors -- Introduction: Wither Bioinformatics in Human Health and Heredity -- 1. Introduction -- 2. Sciences dealing with biological information and rationale of their integration -- 3. Goals and major research areas of bioinformatics -- 4. Why bioinformatics is so important and open areas of research -- 4.1 Importance -- 4.2 Open research areas -- References -- Bayesian Methods for Microarray Data -- 1. Introduction -- 1.1 Gene expression -- 1.2 Various array technologies -- 1.3 Image analysis -- 1.4 Normalization -- 2. Literature review -- 2.1 Log-normal models -- 2.2 Hierarchical mixture models -- 2.3 Nonparametric models -- 3. Hierarchical models for microarray analysis -- 3.1 Bayesian model for combining scans -- 3.2 Bayesian model for identifying differential expression -- 4. Embryonic maize tissue development -- 4.1 Applying the models -- 4.2 Results -- 5. Conclusion -- 6. Appendix -- References -- Section A: Theme - Microarray Analysis -- Statistical Analysis of Gene Expression Studies with Ordered Experimental Conditions -- 1. Introduction -- 2. ``Short-series'' time-course data -- 2.1 Pairwise comparisons between time points -- 2.2 Analysis of variance and related procedures -- 2.3 Multiple testing -- 2.4 Classification and clustering procedures -- 2.5 Procedures based on correlation with model profiles -- 2.6 Procedures based on regression models -- 2.7 Procedures that utilize order-restricted inference -- 3. ``Long series'' time-course data for cyclic and developmental processes -- 3.1 Approaches based on a simple cosine curve -- 3.2 Single-pulse model -- 3.3 Random periods model -- 3.4 First-order differential equation model for developmental processes -- 3.5 A shape-invariant spline approach -- 3.6 Analysis of phase angles -- 4. Concluding remarks.
Note:
Includes bibliographical references and index
Additional Edition:
9780444518750
Additional Edition:
Erscheint auch als Druck-Ausgabe 9780444518750
Language:
English
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