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Bioinformatics in Human Health and Heredity
- 1st Edition, Volume 28 - August 30, 2012
- Editors: C.R. Rao, Ranajit Chakraborty, Pranab K. Sen
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 4 - 5 1 8 7 5 - 0
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 9 3 0 9 8 - 5
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 su… Read more
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Request a sales quoteThe 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
Statisticians and scientists in various disciplines who use statistical methodology in their work
Editorial Board
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
Bayesian Methods for Microarray Data
1 Introduction
2 Literature review
3 Hierarchical models for microarray analysis
4 Embryonic maize tissue development
5 Conclusion
6 Appendix
Statistical Analysis of Gene Expression Studies with Ordered Experimental Conditions
1 Introduction
2 “Short-series” time-course data
3 “Long series” time-course data for cyclic and developmental processes
4 Concluding remarks
Meta-Analysis of High Throughput Oncology Data
1 Introduction
2 Bayesian Networks
3 Example application in genetic epidemiology
4 Software and applications
5 Summary and future directions
A Statistical Appraisal of Biomarker Selection Methods Applicable to HIV/AIDS Research
1 Introduction
2 Biomarker definitions
3 HIV infection biomarker review
4 Statistical screening methods for biomarker selection
5 Causal inference approaches for biomarker selection
6 Targeted maximum likelihood estimation
7 Classifier performance assessed by ROC curve
8 Some impending statistical challenges
9 Multiplicity considerations in biomarker research
10 An application: hormonal contraception and HIV genital shedding and disease progression (GS study)
11 Discussion and conclusion
The Use of Hamming Distance in Bioinformatics
1 Introduction
2 Some diversity measures
3 U-statistics representation for the Hamming distance based measures in bioinformatics
4 Analysis of variance tests based on Hamming distances
5 MANOVA: roadblocks for
6 Microarray gene expression models: statistical perspectives
7 Asymptotics under null and local alternatives
8 Applications of Hamming distance measures
9 Discussion
Appendix
Asymptotic Expansions of the Distributions of the Least Squares Estimators in Factor Analysis and Structural Equation Modeling
1 Introduction
2 Least squares estimators for unstandardized variables
3 Asymptotic distributions of the least squares estimators
4 Least squares estimators for standardized variables
5 Numerical examples
6 Discussion
Acknowledgments
Appendix A The partial derivatives of the parameter estimators with respect to sample variances and covariances
Multiple Testing of Hypotheses in Biomedical Research
1 Introduction
2 What is multiple testing?
3 Parametric approach
4 Nonparametric procedure
5 The enigma of p-values
6 Analogues of Type I error rates
7 Multiple testing procedures
8 Conclusions
Applications of Bayesian Neural Networks in Prostate Cancer Study
1 Introduction
2 Feedforward neural networks: frequentist and Bayesian approach
3 Priors and their properties
4 Prostate cancer: univariate analysis with clinical covariates
5 Multivariate analysis with clinical covariates
6 Univariate and multivariate analysis with gene expression data
7 Summary and conclusion
Statistical Methods for Detecting Functional Divergence of Gene Families
1 Introduction
2 The two-state model for functional divergence
3 Testing type-I functional divergence after gene duplication
4 Predicting critical residues for (type-I) functional divergence
5 Implementation and case-study
Sequence Pattern Discovery with Applications to Understanding Gene Regulation and Vaccine Design
1 Introduction
2 Pattern discovery in studying gene regulation
3 Hidden Markov models for sequence analysis
4 Using auxiliary data in motif prediction
5 Vaccine development using a pattern discovery approach
6 Pattern discovery using amino acid properties
7 Using HMMs to classify binders and non-binders
8 Concluding remarks
Single-Locus Genetic Association Analysis by Ordinal Tests
1 Introduction
2 Penetrance model for single-locus genetic association
3 Indirect association and two-locus model
4 Single-locus association tests
5 Statistical methods for ordered categorical data analysis
6 The equivalence between the CML test and the Bartholomew’s Chibar test
7 Type I error of different single-locus association tests
8 Power of different single-locus association tests
9 Simulation study using real HapMap ENCODE data
10 Conclusion
A Molecular Information Method to Estimate Populat on Admixture
1 Introduction
2 Materials and methods
3 Results
4 Discussion
Effects of Inclusion of Relatives in DNA Databases: Empirical Observations from 13K SNPs in Hap-Map Population Data
1 Introduction
2 Material and methods
3 Results
4 Discussion
Measurement and Analysis of Quality of Life in Epidemiology
1 Introduction
2 Measurement models of Health related Quality of Life
3 Validation of HrQoL measurement models
4 Construction of Quality of Life scores
5 Analysis of Quality of Life change between groups
6 Simulation results
7 Real data examples
8 Conclusion
Annex: A SAS Macro for the -curve
Quality of Life Perspectives in Chronic Disease and Disorder Studies
1 Introduction
2 Biology of diabetes
3 Genetics of Thalassemia minor
4 Nondegradation vs. degradation processes
5 QAL survival analysis
6 QAS analysis in diabetes studies—QOL aspects
7 Need for data collection, monitoring, and analysis
8 Some simulation studies
Bioinformatics of Obesity
1 Introduction
2 Epistemology and history of obesity
3 Measurements and types of obesity
4 Relationships between various measures of obesity and their implications
5 Diseases associated with obesity
6 Causes of obesity
7 Combating obesity epidemics
8 Future studies and epilogue
Exploring Genetic Epidemiology Data with Bayesian Networks
1 Introduction
2 Bayesian Networks
3 Example application in genetic epidemiology
4 Software and applications
5 Summary and future directions
Perturbation Methods for Protecting Numerical Data: Evolution and Evaluation
1 Introduction
2 Definition of data utility and disclosure risk for perturbation methods
3 The theoretical basis for perturbation methods
4 Evolution of perturbation methods for numerical data
5 Evaluation of perturbation methods
6 Comparison of perturbation with other masking methods
7 Conclusions
Protecting Data Confidentiality in Publicly Released Datasets: Approaches Based on Multiple Imputation
1 Introduction
2 Description of synthetic data methods
3 Inferential methods
4 Concluding remarks
Subject Index
Contents of Volumes
- No. of pages: 612
- Language: English
- Edition: 1
- Volume: 28
- Published: August 30, 2012
- Imprint: North Holland
- Hardback ISBN: 9780444518750
- eBook ISBN: 9780080930985
CR
C.R. Rao
book “Ancient Inhabitants of Jebel Moya” published by the Cambridge Press under the joint authorship of Rao and two anthropologists. On the basis of work done at CU during the two year period, 1946-1948, Rao earned a Ph.D. degree and a few years later Sc.D. degree of CU and the rare honor of life fellowship of Kings College, Cambridge.
He retired from ISI in 1980 at the mandatory age of 60 after working for 40 years during which period he developed ISI as an international center for statistical education and research. He also took an active part in establishing state statistical bureaus to collect local statistics and transmitting them to Central Statistical Organization in New Delhi. Rao played a pivitol role in launching undergraduate and postgraduate courses at ISI. He is the author of 475 research publications and several breakthrough papers contributing to statistical theory and methodology for applications to problems in all areas of human endeavor. There are a number of classical statistical terms named after him, the most popular of which are Cramer-Rao inequality, Rao-Blackwellization, Rao’s Orthogonal arrays used in quality control, Rao’s score test, Rao’s Quadratic Entropy used in ecological work, Rao’s metric and distance which are incorporated in most statistical books.
He is the author of 10 books, of which two important books are, Linear Statistical Inference which is translated into German, Russian, Czec, Polish and Japanese languages,and Statistics and Truth which is translated into, French, German, Japanese, Mainland Chinese, Taiwan Chinese, Turkish and Korean languages.
He directed the research work of 50 students for the Ph.D. degrees who in turn produced 500 Ph.D.’s. Rao received 38 hon. Doctorate degree from universities in 19 countries spanning 6 continents. He received the highest awards in statistics in USA,UK and India: National Medal of Science awarded by the president of USA, Indian National Medal of Science awarded by the Prime Minister of India and the Guy Medal in Gold awarded by the Royal Statistical Society, UK. Rao was a recipient of the first batch of Bhatnagar awards in 1959 for mathematical sciences and and numerous medals in India and abroad from Science Academies. He is a Fellow of Royal Society (FRS),UK, and member of National Academy of Sciences, USA, Lithuania and Europe. In his honor a research Institute named as CRRAO ADVANCED INSTITUTE OF MATHEMATICS, STATISTICS AND COMPUTER SCIENCE was established in the campus of Hyderabad University.
Affiliations and expertise
University of Hyderabad Campus, IndiaRC
Ranajit Chakraborty
Affiliations and expertise
Director, Center for Computational Genomics
Institute of Applied Genetics
Professor, Department of Forensic and Investigative Genetics
University of North Texas Health Science Center
3500 Camp Bowie Blvd., Fort Worth, Texas 76107PS
Pranab K. Sen
Pranab K. Sen is Cary C. Boshamer Professor of Biostatistics and Statistics at the University of North Carolina, and is a Fellow of the Institute of Mathematical Statistics and of the American Statistical Association. He is also an elected member of the International Statistical Institute.Prenab K. Sen is author or co-author of multiple volumes in Mathematical Statistics, Probability Theory and Biostatistics, and has published extensively in nonparametrics, multivariate and sequential analysis, and reliability and survival analysis.
Affiliations and expertise
University of North Carolina, Chapel Hill, U.S.A.Read Bioinformatics in Human Health and Heredity on ScienceDirect