Princeton University Library Catalog

Statistical methods in molecular biology / edited by Heejung Bang ... [et al.].

Format:
Book
Language:
English
Published/​Created:
New York, NY ; Dordrecht : Humana Press, c2010.
Description:
xiii, 636 p. : ill. ; 27 cm.
Series:
Bibliographic references:
Includes bibliographical references and index.
Contents:
Part I. Basic Statistics -- 1. Experimental statistics for biological sciences / Heejung Bang and Marie Davidian -- 2. Nonparametric methods for molecular biology / Knut M. Wittkowski and Tingting Song -- 3. Basics of Bayesian methods / Sujit K. Ghosh -- 4. The Bayesian t-test and beyond / Mithat Gönen -- -- 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 data sets / Xutao Deng and Fabien Campagne -- 16. Multi-gene expression-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
Subject(s):
Molecular biologyStatistical methods [Browse]
ISBN:
  • 9781607615781 (hbk.)
  • 1607615789 (hbk.)
OCLC:
462919274
Related name:
RCP:
C - S