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Self-Organizing Maps with Statistical Phase Synchronization (SOMPS) for Analyzing Cell Cycle-Specific Gene Expression Data*
Coalescent Time Distributions in Trees of Arbitrary Size*
Quantifying the Association between Gene Expressions and DNA-Markers by Penalized Canonical Correlation Analysis*
Nonparametric Functional Mapping of Quantitative Trait Loci Underlying Programmed Cell Death*
Accommodating Uncertainty in a Tree Set for Function Estimation*
Drifting Markov Models with Polynomial Drift and Applications to DNA Sequences*
Comparing the Characteristics of Gene Expression Profiles Derived by Univariate and Multivariate Classification Methods*
Calculating Confidence Intervals for Prediction Error in Microarray Classification Using Resampling*
Structure Learning in Nested Effects Models*
Correcting the Estimated Level of Differential Expression for Gene Selection Bias: Application to a Microarray Study*
TRAB: Testing Whether Mutation Frequencies Are Above an Unknown Background*
Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples*
Adaptive Choice of the Number of Bootstrap Samples in Large Scale Multiple Testing*
Re-Cracking the Nucleosome Positioning Code*
Semi-Parametric Differential Expression Analysis via Partial Mixture Estimation*
A SNP Streak Model for the Identification of Genetic Regions Identical-by-descent*
Detecting Two-Locus Gene-Gene Effects Using Monotonisation of the Penetrance Matrix*
Modeling DNA Methylation in a Population of Cancer Cells *
Phenotyping Genetic Diseases Using an Extension of μ -Scores for Multivariate Data *
The Estimator of the Optimal Measure of Allelic Association: Mean, Variance and Probability Distribution When the Sample Size Tends to Infinity *
Predicting Protein Concentrations with ELISA Microarray Assays, Monotonic Splines and Monte Carlo Simulation*
A Comparison of Normalization Techniques for MicroRNA Microarray Data*
Collapsing SNP Genotypes in Case-Control Genome-Wide Association Studies Increases the Type I Error Rate and Power*
Estimating Number of Clusters Based on a General Similarity Matrix with Application to Microarray Data*
Data Distribution of Short Oligonucleotide Expression Arrays and Its Application to the Construction of a Generalized Intellectual Framework
Approximately Sufficient Statistics and Bayesian Computation *
A Composite-Conditional-Likelihood Approach for Gene Mapping Based on Linkage Disequilibrium in Windows of Marker Loci*
Statistical Methods in Integrative Analysis for Gene Regulatory Modules *
Reducing Spatial Flaws in Oligonucleotide Arrays by Using Neighborhood Information *
Pattern Classification of Phylogeny Signals*
A Unification of Multivariate Methods for Meta-Analysis of Genetic Association Studies *
Importance Sampling for the Infinite Sites Model*
Supervised Distance Matrices
Addressing the Shortcomings of Three Recent Bayesian Methods for Detecting Interspecific Recombination in DNA Sequence Alignments *
A Sparse PLS for Variable Selection when Integrating Omics Data *