Identifying novel NF-kB-regulated immune genes in the human genome using a Discrete Kernel Structured Support Vector Machine.

Kernel-based random effect time-varying coefficient model for longitudinal data.

Analysis of long series of longitudinal ordinal data using marginalized models.

Practical approach to determine sample size for building logistic prediction models using high-throughput data.

SNP Selection in Genome-Wide Association Studies via Penalized Support Vector Machine with MAX Test.

Prediction of a time-to-event trait using genome wide SNP data.

Analysis of Survival Data with Group Lasso.

Multiple Testing for Gene Sets from Microarray Experiments.

Robust test method for time-course microarray experiments.

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

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

A permutation-based multiple testing method for time-course microarray experiments.

Sample size calculation for microarray experiments with blocked one-way design.

Gradient lasso for Cox proportional hazards model.

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

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

A copula method for modeling directional dependence of genes.

Structured polychotomous machine diagnosis of multiple cancer types using gene expression.

Usefulness of artificial neural networks for early warning system of economic crisis.