000			00411nam a2200145Ia 4500
999			_c176291 _d176291
020			_a9781584885221
040			_cCUS
082			_a576.50151 _bGUE/M
245		0	_aMeta-analysis and combining information in genetics and genomics/ _cGuerra, Rudy [ed.]
250			_a1st ed.
260			_aBoca Raton: _bCRC Press, _c2010.
300			_a335 p.
505			_aIntroductory MaterialA brief introduction to meta-analysis, genetics, and genomics Darlene R. Goldstein and Rudy GuerraSimilar Data Types I: Genotype Data Combining information across genome-wide linkage scans Carol J. Etzel and Tracy J. CostelloGenome search meta-analysis (GSMA): a nonparametric method for meta-analysis of genome-wide linkage studies Cathryn M. LewisHeterogeneity in meta-analysis of quantitative trait linkage studies Hans C. van Houwelingen and Jeremie J.P. LebrecAn empirical Bayesian framework for QTL genome-wide scans Kui Zhang, Howard Wiener, T. Mark Beasley, Christopher I. Amos, and David B. AllisonSimilar Data Types II: Gene Expression Data Composite hypothesis testing: an approach built on intersection-union tests and Bayesian posterior probabilities Stephen Erickson, Kyoungmi Kim, and David B. AllisonFrequentist and Bayesian error pooling methods for enhancing statistical power in small sample microarray data analysis Jae K. Lee, Hyung Jun Cho, and Michael O'ConnellSignificance testing for small microarray experiments Charles Kooperberg, Aaron Aragaki, Charles C. Carey, and Suzannah RutherfordComparison of meta-analysis to combined analysis of a replicated microarray study Darlene R. Goldstein, Mauro Delorenzi, Ruth Luthi-Carter, and Thierry Sengstag Alternative probe set definitions for combining micro array data across studies using different versions of Affymetrix oligonucleotide arrays Jeffrey S. Morris, Chunlei Wu, Kevin R. Coombes, Keith A. Baggerly, Jing Wang, and Li ZhangGene ontology-based meta-analysis of genome-scale experiments Chad A. Shaw Combining Different Data Types Combining genomic data in human studies Debashis Ghosh, Daniel Rhodes, and Arul Chinnaiyan An overview of statistical approaches for expression trait loci mapping Christina Kendziorski and Meng Chen Incorporating GO annotation information in expression trait loci mapping J. Blair Christian and Rudy Guerra A mis classification model for inferring transcriptional regulatory networks Ning Sun and Hongyu ZhaoData integration for the study of protein interactions Fengzhu Sun, Ting Chen, Minghua Deng, Hyunju Lee, and Zhidong TuGene trees, species trees, and species networks Luay Nakhleh, Derek Ruths, and Hideki Innan References Index
942			_cAC8