Statistical Methods in Molecular Biology

Part I: Basic Statistics

1. Experimental Statistics for Biological Sciences Heejung Bang and Marie Davidian

2. Nonparametric Methods in Molecular Biology Knut M. Wittkowski and Tingting Song

3. Basics of Bayesian Methods Sujit K. Ghosh

4. The Bayesian t-Test and Beyond Mithat G¶nen

Part II: Designs and Methods for Molecular Biology

5. Sample Size and Power Calculation for Molecular Biology Studies Sin-Ho Jung

6. Designs for Linkage Analysis and Association Studies of Complex Diseases Yuehua Cui, Gengxin Li, Shaoyu Li, and Rongling Wu

7. Introduction to Epigenomics and Epigenome-Wide Analysis Melissa J. Fazzari and John M. Greally

8. Exploration, Visualization, and Preprocessing of High Dimensional Data Zhijin Wu and Zhiqiang Wu

Part III: Statistical Methods for Microarray Data

9. Introduction to the Statistical Analysis of Two-Color Microarray Data Martina Bremer, Edward Himelblau, and Andreas Madlung

10. Building Networks with Microarray Data Bradley M. Broom, Waree Rinsurongkawong, Lajos Pusztai, and Kim-Anh Do

Part IV: Advanced or Specialized Methods for Molecular Biology

11. Support Vector Machines for Classification: A Statistical Portrait Yoonkyung Lee

12. An Overview of Clustering Applied to Molecular Biology Rebecca Nugent and Marina Meila

13. Hidden Markov Model and Its Applications in Motif Findings Jing Wu and Jun Xie

14. Dimension Reduction for High Dimensional Data Lexin Li

15. Introduction to the Development and Validation of Predictive Biomarker Models from High-Throughput Datasets Xutao Deng and Fabien Campagne

16. Multi-GeneExpression-Based Statistical Approaches to Predicting Patients' Clinical Outcomes and Responses Feng Cheng, Sang-Hoon Cho, and Jae K. Lee

17. Two-Stage Testing Strategies for Genome-Wide Association Studies in Family-Based Designs Amy Murphy, Scott T. Weiss, and Christoph Lange

18. Statistical Methods for Proteomics Klaus Jung

Part V: Meta-Analysis for High-Dimensional Data

19. Statistical Methods for Integrating Multiple Types of High-Throughput Data Yang Xie and Chul Ahn

20. A Bayesian Hierarchical Model for High-Dimensional Meta Analysis Fei Liu

21. Methods for Combining Multiple Genome-Wide Linkage Studies Trecia A. Kippola and Stephanie A. Santorico

Part VI: Other Practical Information

22. Improved Reporting of Statistical Design and Analysis: Guidelines, Education, and Editorial Policies Madhu Mazumdar, Samprit Banerjee, and Heather L. Van Epps

23. Stata Companion Jennifer Sousa Brennan