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Accounting for Dependence in Similarity Data from DNA Fingerprinting*
Normalization of Dye Bias in Microarray Data Using the Mixture of Splines Model*
A Generalized Sidak-Holm Procedure and Control of Generalized Error Rates under Independence
Using Duplicate Genotyped Data in Genetic Analyses: Testing Association and Estimating Error Rates *
Likelihood-Based Inference for Multi-Color Optical Mapping*
Sparse Logistic Regression with Lp Penalty for Biomarker Identification*
Super Learning: An Application to the Prediction of HIV-1 Drug Resistance*
Supervised Detection of Conserved Motifs in DNA Sequences with Cosmo
Accurate Ranking of Differentially Expressed Genes by a Distribution-Free Shrinkage Approach*
Statistical Inference for Quantitative Polymerase Chain Reaction Using a Hidden Markov Model: A Bayesian Approach*
A Bayesian Model of AFLP Marker Evolution and Phylogenetic Inference*
Sequential Quantitative Trait Locus Mapping in Experimental Crosses*
Case-Control Inference of Interaction between Genetic and Nongenetic Risk Factors under Assumptions on Their Distribution*
Inference on the Limiting False Discovery Rate and the P-value Threshold Parameter Assuming Weak Dependence between Gene Expression Levels within Subject*
Reconstructing Gene Regulatory Networks with Bayesian Networks by Combining Expression Data with Multiple Sources of Prior Knowledge*
Cox Survival Analysis of Microarray Gene Expression Data Using Correlation Principal Component Regression*
A Method for Meta-Analysis of Case-Control Genetic Association Studies Using Logistic Regression*
Approximating the Variance of the Conditional Probability of the State of a Hidden Markov Model*
Using Linear Mixed Models for Normalization of cDNA Microarrays*
Experimental Design for Two-Color Microarrays Applied in a Pre-Existing Split-Plot Experiment*
The Cyclohedron Test for Finding Periodic Genes in Time Course Expression Studies*
H-Tuple Approach to Evaluate Statistical Significance of Biological Sequence Comparison with Gaps*
Multiple Testing Issues in Discriminating Compound-Related Peaks and Chromatograms from High Frequency Noise, Spikes and Solvent-Based Noise in LC - MS Data Sets*
A Bayesian Approach to Estimation and Testing in Time-course Microarray Experiments*
Super Learner
Testing for Trends in Dose-Response Microarray Experiments: A Comparison of Several Testing Procedures, Multiplicity and Resampling-Based Inference*
On the Operational Characteristics of the Benjamini and Hochberg False Discovery Rate Procedure
A Comparison of Methods to Control Type I Errors in Microarray Studies
Selection of Biologically Relevant Genes with a Wrapper Stochastic Algorithm
T-BAPS: A Bayesian Statistical Tool for Comparison of Microbial Communities Using Terminal-restriction Fragment Length Polymorphism (T-RFLP) Data*
Population Structure and Covariate Analysis Based on Pairwise Microsatellite Allele Matching Frequencies*
Estimating the Arm-Wise False Discovery Rate in Array Comparative Genomic Hybridization Experiments*
An Expectation Maximization Approach to Estimate Malaria Haplotype Frequencies in Multiply Infected Children*
Estimation of Expression Levels in Spotted Microarrays with Saturated Pixels*
Improving Divergence Time Estimation in Phylogenetics: More Taxa vs. Longer Sequences*
Fully Bayesian Mixture Model for Differential Gene Expression: Simulations and Model Checks*
Multiple Testing for SNP-SNP Interactions*