Bioinformatics in Human Health and Heredity
North-Holland (Publisher)
Published on 31. December 2012
612 pages
978-0-08-093098-5 (ISBN)
Description
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
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C.R. Rao | Ranajit Chakraborty | Pranab K. Sen
Bioinformatics in Human Health and Heredity: Volume 28
Bioinformatics in Human Health and Heredity
Book
08/2012
North-Holland
€190.50
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Content
Chapter 1: Introduction: Wither Bioinformatics in Human Health and HereditySection A: Microarray AnalysisChapter 2: Hierarchical Bayesian Methods for Microarray DataChapter 3: Statistical Analysis of Time-Course and Dose-Response Microarray ExperimentsChapter 4: Meta-analysis of High Throughput Oncology DataSection B: Analytical MethodsChapter 5: A Statistical Appraisal of Biomarker Selection Methods Applicable to HIV/AIDS ResearchChapter 6: The use of Hamming Distance in BioinformaticsChapter 7: Asymptotic Expansion of the Distributions of the Least Squares Estimators in Factor Analysis and Structural Equation ModelingChapter 8: Multiple Testing and False Discovery Rate Issues in BioinformaticsSection C: Genetics and DNA ForensicsChapter 9: Applications of Bayesian Neural Networks in Prostate Cancer StudyChapter 10: Statistical Methods for Detecting Functional Divergence of Gene FamiliesChapter 11: Sequence Pattern Discovery with Applications to Understanding Gene Regulation and Vaccine DesignChapter 12: Single-locus Association Tests by Ordered StatisticsChapter 13: A Molecular Information Method to Estimate Population AdmixtureChapter 14: Effects of Inclusion of Relatives in DNA Databases: Empirical Observations from 13K SNPs in Hap-Map Population DataSection D: EpidemiologyChapter 15: Measurement and Analysis of Quality of Life in EpidemiologyChapter 16: Quality of Life Perspectives in Chronic Disease and Disorder Studies Chapter 17: Bioinformatics of ObesityChapter 18: Exploring Genetic Epidemiology Data with Bayesian NetworksSection E: Database IssuesChapter 19: Perturbation Methods for Protecting Numerical Data: Evolution and EvaluationChapter 20: Protecting Data Confidentiality in Public Release Datasets: Approaches Based on Multiple Imputation
