Bioinformatics in Human Health and Heredity: Volume 28 (Hardcover)

Chapter 1: Introduction: Wither Bioinformatics in Human Health and Heredity Section A: Microarray Analysis Chapter 2: Hierarchical Bayesian Methods for Microarray Data Chapter 3: Statistical Analysis of Time-Course and Dose-Response Microarray Experiments Chapter 4: Meta-analysis of High Throughput Oncology Data Section B: Analytical Methods Chapter 5: A Statistical Appraisal of Biomarker Selection Methods Applicable to HIV/AIDS Research Chapter 6: The use of Hamming Distance in Bioinformatics Chapter 7: Asymptotic Expansion of the Distributions of the Least Squares Estimators in Factor Analysis and Structural Equation Modeling Chapter 8: Multiple Testing and False Discovery Rate Issues in Bioinformatics Section C: Genetics and DNA Forensics Chapter 9: Applications of Bayesian Neural Networks in Prostate Cancer Study Chapter 10: Statistical Methods for Detecting Functional Divergence of Gene Families Chapter 11: Sequence Pattern Discovery with Applications to Understanding Gene Regulation and Vaccine Design Chapter 12: Single-locus Association Tests by Ordered Statistics Chapter 13: A Molecular Information Method to Estimate Population Admixture Chapter 14: Effects of Inclusion of Relatives in DNA Databases: Empirical Observations from 13K SNPs in Hap-Map Population Data Section D: Epidemiology Chapter 15: Measurement and Analysis of Quality of Life in Epidemiology Chapter 16: Quality of Life Perspectives in Chronic Disease and Disorder Studies Chapter 17: Bioinformatics of Obesity Chapter 18: Exploring Genetic Epidemiology Data with Bayesian Networks Section E: Database Issues Chapter 19: Perturbation Methods for Protecting Numerical Data: Evolution and Evaluation Chapter 20: Protecting Data Confidentiality in Public Release Datasets: Approaches Based on Multiple Imputation