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Statistical methods in molecular biology / edited by Heejung Bang [and others].
Format
Book
Language
English
Published/Created
New York, NY ; Dordrecht : Humana Press, [2010], ©2010.
Description
xiii, 636 pages : illustrations ; 27 cm.
Availability
Available Online
Online Content
Springer Nature - Complete Protocols
Copies in the Library
Location
Call Number
Status
Location Service
Notes
ReCAP - Remote Storage
QH506 .M56 v.620
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Details
Subject(s)
Molecular biology
—
Statistical methods
[Browse]
Related name
Bang, Heejung, 1972-
[Browse]
Series
Methods in molecular biology (Clifton, N.J.) ; v. 620.
[More in this series]
Springer protocols (Series)
[More in this series]
Methods in molecular biology, 1940-6029 ; 620
Springer protocols
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
Show 29 more Contents items
ISBN
9781607615781 (hbk.)
1607615789 (hbk.)
OCLC
462919274
RCP
C - S
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Supplementary Information
Other versions
Statistical methods in molecular biology [electronic resource] / edited by Heejung Bang ... [et al.].
id
9962473043506421
Statistical methods in molecular biology / edited by Heejung Bang [and others].
id
9961059753506421
Statistical Methods in Molecular Biology [electronic resource] / edited by Heejung Bang, Xi Kathy Zhou, Heather L. van Epps, Madhu Mazumdar.
id
99125325032006421