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Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Transformations for cDNA microarray dataXiangqin Cui, M Kathleen Kerr, Gary A ChurchillStatistical Applications in Genetics and Molecular Biology|May 2, 2006
Augmentation procedures for control of the generalized family-wise error rate and tail probabilities for the proportion of false positivesMark J van der Laan, Sandrine Dudoit, Katherine S PollardStatistical Applications in Genetics and Molecular Biology|May 2, 2006
A family-based association test for repeatedly measured quantitative traits adjusting for unknown environmental and/or polygenic effectsChristoph Lange, Kristel van Steen, Toby Andrew, et al.Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Relating HIV-1 sequence variation to replication capacity via trees and forestsMark R Segal, Jason D Barbour, Robert M GrantStatistical Applications in Genetics and Molecular Biology|May 2, 2006
BayesMendel: an R environment for Mendelian risk predictionSining Chen, Wenyi Wang, Karl W Broman, et al.Statistical Applications in Genetics and Molecular Biology|May 2, 2006
A mixed model approach to identify yeast transcriptional regulatory motifs via microarray experimentsXiang Yu, Tzu-Ming Chu, Greg Gibson, et al.Statistical Applications in Genetics and Molecular Biology|May 2, 2006
Incorporating biological information as a prior in an empirical bayes approach to analyzing microarray dataWei PanStatistical Applications in Genetics and Molecular Biology|May 2, 2006
A simple loglinear model for haplotype effects in a case-control study involving two unphased genotypesStuart G BakerStatistical Applications in Genetics and Molecular Biology|May 2, 2006
Continuous covariates in genetic association studies of case-parent triads: gene and gene-environment interaction effects, population stratification, and power analysisSooyeol Lim, Joseph Beyene, Celia M T GreenwoodStatistical Applications in Genetics and Molecular Biology|May 2, 2006
A probabilistic approach to large-scale association scans: a semi-Bayesian method to detect disease-predisposing allelesSteven J SchrodiPageof 67