Item Details

Statistical Methods in Molecular Biology [electronic resource]

edited by Heejung Bang ... [et al.]
Format
EBook; Book; Online
Published
New York : Humana Press, c2010.
Language
English
Series
Springer Protocols
Methods in Molecular Biology
Springer Protocols (Series)
Methods in Molecular Biology (Clifton, N.J.)
ISBN
9781607615781 (alk. paper), 1607615789 (alk. paper), 9781607615804 (e-ISBN), 1607615800 (e-ISBN)
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 ... [et al.]
  • 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 ... [et al.]
  • 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.
Description
Mode of access: World wide Web.
Notes
Includes bibliographical references and index.
Series Statement
Methods in molecular biology, 1064-3745 ; 620
Methods in molecular biology (Clifton, N.J.) v. 620
Logo for Copyright Not EvaluatedCopyright Not Evaluated
Technical Details
  • Access in Virgo Classic

  • LEADER 04511cam a22005537a 4500
    001 u5308764
    003 SIRSI
    005 20120508233811.0
    006 m d
    007 cr n
    008 091201s2010 nyua sb 001 0 eng d
    010
      
      
    a| 2009942427
    015
      
      
    a| GBA9A6721 2| bnb
    016
    7
      
    a| 101528884 2| DNLM
    016
    7
      
    a| 015409166 2| Uk
    020
      
      
    a| 9781607615781 (alk. paper)
    020
      
      
    a| 1607615789 (alk. paper)
    020
      
      
    a| 9781607615804 (e-ISBN)
    020
      
      
    a| 1607615800 (e-ISBN)
    035
      
      
    a| (Sirsi) ssj0000450350
    035
      
      
    a| (WaSeSS)ssj0000450350
    040
      
      
    a| NLM c| NLM d| UKM d| BTCTA d| YDXCP d| HNC d| C#P d| CUS d| BWX d| COU d| CDX d| AGL d| GEBAY d| WAU d| UPP d| DEBBG d| TULIB d| DLC d| WaSeSS
    042
      
      
    a| nlmcopyc a| lccopycat
    050
    0
    0
    a| QH506 b| .S77 2010
    060
    0
    0
    a| W1 b| ME9616J v.620 2010
    060
    1
    0
    a| QH 506
    070
    0
      
    a| QH506 b| .S73 2010
    082
    0
    4
    a| 572.8015195 2| 22
    084
      
      
    a| WC 4150 2| rvk
    084
      
      
    a| WC 7600 2| rvk
    084
      
      
    a| WC 7700 2| rvk
    245
    0
    0
    a| Statistical methods in molecular biology h| [electronic resource] / c| edited by Heejung Bang ... [et al.].
    260
      
      
    a| New York : b| Humana Press, c| c2010.
    490
    1
      
    a| Springer protocols
    490
    1
      
    a| Methods in molecular biology, x| 1064-3745 ; v| 620
    504
      
      
    a| Includes bibliographical references and index.
    505
    0
      
    a| 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 ... [et al.] -- 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 ... [et al.] -- 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.
    538
      
      
    a| Mode of access: World wide Web.
    650
      
    0
    a| Molecular biology x| Statistical methods.
    650
    1
    2
    a| Molecular Biology v| Laboratory Manuals.
    650
    2
    2
    a| Statistics as Topic x| methods v| Laboratory Manuals.
    655
      
    0
    a| Electronic books.
    700
    1
      
    a| Bang, Heejung, d| 1972-
    710
    2
      
    a| Springer Protocols
    830
      
    0
    a| Springer protocols (Series)
    830
      
    0
    a| Methods in molecular biology (Clifton, N.J.) v| v. 620.
    856
    4
    0
    u| http://RE5QY4SB7X.search.serialssolutions.com/?V=1.0&L=RE5QY4SB7X&S=JCs&C=TC0000450350&T=marc
    596
      
      
    a| 1
    999
      
      
    a| QH506 .S77 2010 w| LCPER i| 5308764-1001 l| INTERNET m| UVA-LIB t| INTERNET

Availability

Google Preview

Read Online