Statistical Methods in Molecular Biology [Hardcover]

This progressive book presents the basic principles of proper statistical analyses. It progresses to more advanced statistical methods in response to rapidly developing technologies and methodologies in the field of molecular biology.

Part I: Basic Statistics1. Experimental Statistics for Biological SciencesHeejung Bang and Marie Davidian2. Nonparametric Methods in Molecular BiologyKnut M. Wittkowski and Tingting Song3. Basics of Bayesian MethodsSujit K. Ghosh4. The Bayesian t-Test and BeyondMithat G?nenPart II: Designs and Methods for Molecular Biology5. Sample Size and Power Calculation for Molecular Biology StudiesSin-Ho Jung6. Designs for Linkage Analysis and Association Studies of Complex DiseasesYuehua Cui, Gengxin Li, Shaoyu Li, and Rongling Wu7. Introduction to Epigenomics and Epigenome-Wide AnalysisMelissa J. Fazzari and John M. Greally8. Exploration, Visualization, and Preprocessing of High Dimensional DataZhijin Wu and Zhiqiang WuPart III: Statistical Methods for Microarray Data9. Introduction to the Statistical Analysis of Two-Color Microarray DataMartina Bremer, Edward Himelblau, and Andreas Madlung10. Building Networks with Microarray DataBradley M. Broom, Waree Rinsurongkawong, Lajos Pusztai, and Kim-Anh DoPart IV: Advanced or Specialized Methods for Molecular Biology11. Support Vector Machines for Classification: A Statistical PortraitYoonkyung Lee12. An Overview of Clustering Applied to Molecular BiologyRebecca Nugent and Marina Meila13. Hidden Markov Model and Its Applications in Motif FindingsJing Wu and Jun Xie14. Dimension Reduction for High Dimensional DataLexin Li15. Introduction to the Development and Validation of Predictive Biomarker Models from High-Throughput DatasetsXutao Deng and Fabien Campagne16. Multi-GeneExpression-Based Statistical Approaches to Predicting Patients Clinical Outcomes and ResponsesFeng Cheng, Sang-Hoon Cho, and Jae K. Lee17. Two-Stage Testing Strategies for Genome-Wide Association Studies in FamilylÃV