Editorial: Statistical genetics & statistical genomics: Where biology, epistemology, statistics, and computation collide

A semi-parametric approach for mixture models: Application to local false discovery rate estimation

Computational Statistics & Data Analysis

Use of SVD-based probit transformation in clustering gene expression profiles

Computational Statistics & Data Analysis

Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions

Computational Statistics & Data Analysis

Identify LD blocks based on hierarchical spatial data

Computational Statistics & Data Analysis

Classification of gene functions using support vector machine for time-course gene expression data

Computational Statistics & Data Analysis

New normalization methods using support vector machine quantile regression approach in microarray analysis

Computational Statistics & Data Analysis

Assessing agreement of clustering methods with gene expression microarray data

Computational Statistics & Data Analysis

Reproducibility of genotypes as measured by the affymetrix GeneChip® 100K Human Mapping Array set

Computational Statistics & Data Analysis

Excess false positive rate caused by population stratification and disease rate heterogeneity in case-control association studies

Computational Statistics & Data Analysis

The use of plasmodes as a supplement to simulations: A simple example evaluating individual admixture estimation methodologies

Computational Statistics & Data Analysis

Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates

Computational Statistics & Data Analysis

Fast implementation of a scan statistic for identifying chromosomal patterns of genome wide association studies

Computational Statistics & Data Analysis

Utilizing identity-by-descent probabilities for genetic fine-mapping in population based samples, via spatial smoothing of haplotype effects

Computational Statistics & Data Analysis

The power of linkage analysis of a disease-related endophenotype using asymmetrically ascertained sib pairs

Computational Statistics & Data Analysis

Parametric and semiparametric methods for mapping quantitative trait loci

Computational Statistics & Data Analysis

Deviance information criterion (DIC) in Bayesian multiple QTL mapping

Computational Statistics & Data Analysis

Application of information-theoretic tests for the analysis of DNA sequences based on Markov chain models

Computational Statistics & Data Analysis

Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis

Computational Statistics & Data Analysis

Transmission Disequilibrium Test (TDT) for a pair of linked marker loci

Computational Statistics & Data Analysis

Tests for Gaussian graphical models

Computational Statistics & Data Analysis

Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data

Computational Statistics & Data Analysis

Estimation of graphical models whose conditional independence graphs are interval graphs and its application to modelling linkage disequilibrium

Computational Statistics & Data Analysis

A heavy-tailed empirical Bayes method for replicated microarray data

Computational Statistics & Data Analysis

Bayesian models for two-sample time-course microarray experiments

Computational Statistics & Data Analysis

A mixture model approach for the analysis of small exploratory microarray experiments

Computational Statistics & Data Analysis

A robust ratio estimator of gene expression via inverse-variance weighting for cDNA microarray images

Computational Statistics & Data Analysis

Survival prediction using gene expression data: A review and comparison

Computational Statistics & Data Analysis

Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis

Computational Statistics & Data Analysis

On the glog-normal distribution and its application to the gene expression problem

Computational Statistics & Data Analysis

Balancing type one and two errors in multiple testing for differential expression of genes

Computational Statistics & Data Analysis

A structural mixed model to shrink covariance matrices for time-course differential gene expression studies

Computational Statistics & Data Analysis

Combining quantitative trait loci analyses and microarray data: An empirical likelihood approach

Computational Statistics & Data Analysis

Optimizing design of two-stage experiments for transcriptional profiling

Computational Statistics & Data Analysis

Distribution modeling and simulation of gene expression data

Computational Statistics & Data Analysis

Modified linear discriminant analysis approaches for classification of high-dimensional microarray data

Computational Statistics & Data Analysis

The beta-binomial distribution for estimating the number of false rejections in microarray gene expression studies

Computational Statistics & Data Analysis

Complexity control in a mixture model by the Hardy-Weinberg equilibrium

Computational Statistics & Data Analysis

A robust unified approach to analyzing methylation and gene expression data

Computational Statistics & Data Analysis

Statistically appraising process quality of affinity isolation experiments

Computational Statistics & Data Analysis

Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria

Computational Statistics & Data Analysis

Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine

Computational Statistics & Data Analysis