Contents:

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 Goenen

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