[PDF] Meta-analysis and combining information in genetics and genomics Rudy Guerra, Darlene Renee Goldstein

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 replicated microarray study / Darlene R. Goldstein … [et al.] —
10. Alternative probe set definitions for combining microarray data across studies using different versions of Affymetrix oligonucleotide arrays / Jeffrey S. Morris … [et al.] —
11. Gene ontology-based meta-analysis of genome-scale experiments / Chad A. Shaw —
Pt. III. Combining Different Data Types —
12. Combining genomic data in human studies / Debashis Ghosh, Daniel Rhodes and Arul Chinnaiyan —
13. overview of statistical approaches for expression trait loci mapping / Christina Kendziorski and Meng Chen —
14. Incorporating GO annotation information in expression trait loci mapping / J. Blair Christian and Rudy Guerra —
15. misclassification model for inferring transcriptional regulatory networks / Ning Sun and Hongyu Zhao —
16. Data integration for the study of protein interactions / Fengzhu Sun … [et al.] —
17. Gene trees, species trees, and species networks / Luay Nakhleh, Derek Ruths and Hideki Innan.