A Markov-Chain Model for the Analysis of High-Resolution Enzymatically 18O-Labeled Mass Spectra*
Repeated Measures Semiparametric Regression Using Targeted Maximum Likelihood Methodology with Application to Transcription Factor Activity Discovery*
Learning Monotonic Genotype-Phenotype Maps*
A Comparison of Multifactor Dimensionality Reduction and L 1 -Penalized Regression to Identify Gene-Gene Interactions in Genetic Association Studies*
Accuracy and Computational Efficiency of a Graphical Modeling Approach to Linkage Disequilibrium Estimation*
Learning from Past Treatments and Their Outcome Improves Prediction of In Vivo Response to Anti-HIV Therapy*
A Three Component Latent Class Model for Robust Semiparametric Gene Discovery*
Log-Linear Modelling of Protein Dipeptide Structure Reveals Interesting Patterns of Side-Chain-Backbone Interactions
A Robust Statistical Method to Detect Null Alleles in Microsatellite and SNP Datasets in Both Panmictic and Inbred Populations*
Large Sample Approximations of Probabilities of Correct Evolutionary Tree Estimation and Biases of Maximum Likelihood Estimation*
Interval Estimation of Familial Correlations from Pedigrees*
Information Metrics in Genetic Epidemiology *
Linear Combination Test for Hierarchical Gene Set Analysis *
Exploratory Analysis of Multiple Omics Datasets Using the Adjusted RV Coefficient *
Application of the Lasso to Expression Quantitative Trait Loci Mapping *
A Variance-Components Model for Distance-Matrix Phylogenetic Reconstruction
Imputation Estimators Partially Correct for Model Misspecification *
On the Statistical Properties of SGoF Multitesting Method *
Meta-Analysis of Family-Based and Case-Control Genetic Association Studies that Use the Same Cases
A Non-Parametric Method for Detecting Specificity Determining Sites in Protein Sequence Alignments
Performance of Matrix Representation with Parsimony for Inferring Species from Gene Trees
Disequilibrium Coefficient: A Bayesian Perspective *
Analyzing Time-Course Microarray Data Using Functional Data Analysis - A Review
The NBP Negative Binomial Model for Assessing Differential Gene Expression from RNA-Seq *
Inferring Gene Networks using Robust Statistical Techniques *
A Two-Stage Poisson Model for Testing RNA-Seq Data
Quantifying the Relative Contribution of the Heterozygous Class to QTL Detection Power
The Joint Null Criterion for Multiple Hypothesis Tests
Multiple Imputation of Missing Phenotype Data for QTL Mapping
Sparse Canonical Covariance Analysis for High-throughput Data
Comparison of Clinical Subgroup aCGH Profiles through Pseudolikelihood Ratio Tests
Random Forests for Genetic Association Studies
Deviance Information Criteria for Model Selection in Approximate Bayesian Computation
High-Dimensional Regression and Variable Selection Using CAR Scores
Measurement of Evidence and Evidence of Measurement
Surveying the Manifold Divergence of an Entire Protein Class for Statistical Clues to Underlying Biochemical Mechanisms
Smoothing Gene Expression Data with Network Information Improves Consistency of Regulated Genes
Entropy Based Genetic Association Tests and Gene-Gene Interaction Tests
Weighted Lasso with Data Integration
MA-SNP — A New Genotype Calling Method for Oligonucleotide SNP Arrays Modeling the Batch Effect with a Normal Mixture Model
A Modified Maximum Contrast Method for Unequal Sample Sizes in Pharmacogenomic Studies
Fully Moderated T-statistic for Small Sample Size Gene Expression Arrays
Determining Coding CpG Islands by Identifying Regions Significant for Pattern Statistics on Markov Chains
Assessing Modularity Using a Random Matrix Theory Approach
Choice of Summary Statistic Weights in Approximate Bayesian Computation
Bayesian Learning from Marginal Data in Bionetwork Models
Unsupervised Classification for Tiling Arrays: ChIP-chip and Transcriptome
Adaptive Elastic-Net Sparse Principal Component Analysis for Pathway Association Testing
Genetic Linkage Analysis in the Presence of Germline Mosaicism
Fitting Boolean Networks from Steady State Perturbation Data