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Meta-analysis and Combining Information in Genetics and Genomics (Chapman & Hall/CRC Computational Biology Series) by Rudy Guerra, Darlene Renee Goldstein is a nonfiction available to read on EtoBox.

What is Meta-analysis and Combining Information in Genetics and Genomics (Chapman & Hall/CRC Computational Biology Series) about?

Content: Pt. 0. Introductory Material -- 1. brief introduction to meta-analysis, genetics, and genomics / Darlene R. Goldstein and Rudy Guerra -- Pt I. Similar Data Types I: Genotype Data -- 2. Combining information across genome-wide linkage scans / Carol J. Etzel and Tracy J. Costello -- 3. Genome search meta-analysis (GSMA): a nonparametric method for meta-analysis of genome-wide linkage studies / Cathryn M. Lewis -- 4. Heterogeneity in meta-analysis of quantitative trait linkage studies / Hans C. van Houwelingen and Jeremie J. P. Lebrec -- 5. empirical Bayesian framework for QTL genome-wide scans / Kui Zhang ... [et al.] -- Pt. II. Similar Data Types II: Gene Expression Data -- 6. Composite hypothesis testing: an approach built on intersection-union tests and Bayesian posterior probabilities / Stephen Erickson, Kyoungmi Kim and David B. Allison -- 7. Frequentist and Bayesian error pooling methods for enhancing statistical power in small sample microarray data analysis / Jae K. Lee, Hyung Jun Cho and Michael O'Connell -- 8. Significance testing for small microarray experiments / Charles Kooperberg ... [et al.] -- 9. Comparison of meta-analysis to combined analysis of a replicate

Who reads Meta-analysis and Combining Information in Genetics and Genomics (Chapman & Hall/CRC Computational Biology Series)?

Author

Rudy Guerra, Darlene Renee Goldstein

Publisher

CRC Press LLC

Published

2010

Language

EN

ISBN

9781420010626

Category

nonfiction

Subjects

Technology, Science, Mathematics