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 GönenPart 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 Family-Based DesignsAmy Murphy, Scott T. Weiss, and Christoph Lange18. Statistical Methods for ProteomicsKlaus JungPart V: Meta-Analysis for High-Dimensional Data19. Statistical Methods for Integrating Multiple Types of High-Throughput DataYang Xie and Chul Ahn20. A Bayesian Hierarchical Model for High-Dimensional Meta AnalysisFei Liu21. Methods for Combining Multiple Genome-Wide Linkage StudiesTrecia A. Kippola and Stephanie A. SantoricoPart VI: Other Practical Information22. Improved Reporting of Statistical Design and Analysis: Guidelines, Education, and Editorial PoliciesMadhu Mazumdar, Samprit Banerjee, and Heather L. Van Epps23. Stata CompanionJennifer Sousa Brennan
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 GönenPart 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 Family-Based DesignsAmy Murphy, Scott T. Weiss, and Christoph Lange18. Statistical Methods for ProteomicsKlaus JungPart V: Meta-Analysis for High-Dimensional Data19. Statistical Methods for Integrating Multiple Types of High-Throughput DataYang Xie and Chul Ahn20. A Bayesian Hierarchical Model for High-Dimensional Meta AnalysisFei Liu21. Methods for Combining Multiple Genome-Wide Linkage StudiesTrecia A. Kippola and Stephanie A. SantoricoPart VI: Other Practical Information22. Improved Reporting of Statistical Design and Analysis: Guidelines, Education, and Editorial PoliciesMadhu Mazumdar, Samprit Banerjee, and Heather L. Van Epps23. Stata CompanionJennifer Sousa Brennan
Molecular biology encompasses all the processes that occur between biomolecules present in a cell. It is an important field as it contributes to the research as well as practice of allied fields like...
The process whereby a single cell, the fertilized egg, develops into an adult has fascinated for centuries. Great progress in understanding that process, h- ever, has been made in the last two...
This book covers the state-of-the-art research on molecular biology assays and molecular techniques enabled or enhanced by microfluidic platforms. Topics covered include microfluidic methods for...
In the field of molecular evolution, inferences about past evolutionary events are made using molecular data from currently living species. With the availability of genomic data from multiple related...
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