SELECTED STATISTICAL METHODS AND SOFTWARE DEVELOPED
A C++ / Rcpp Armadillo tool implementing a full Bayesian model with missingness for multi-omics data integration.
A C++ tool integrating LD and family information to enhance genotype calling for sequencing data from families.
A C++ tool for genotyping calling of sequence data from population and families. Joint work with LC Chang and Wei Chen.
A C++ and Rcpp package for efficiently studying conditional dependence among variables, which is well known as the Gaussian graphical model (GGM). Joint work with Ting Wang.
A C++ and Rcpp Armadillo tool to combine multiple RNA-seq and microarray studies by Bayesian hierarchical model for detecting differentially expressed genes. Joint work with Charles Ma.
An R software suite for integrative omics meta-analysis, along with user friendly GUI. Joint work with Tseng's lab.
An R package for meta-analytic integration of multiple transcriptomic studies for consensual and differential pathway analysis. Joint work with Taylor Zeng.
A C++ Genetic Model-based Simulator to simulate case-control and quantitative data sets based on pre-defined genetic models. Joint work with Wei Chen.
A C++ program for simulating chromosome admixture of different populations. Joint work with Wei Chen.
A Nextflow and Bash based sequencing data pipeline. Project from NCBI Hackathon at Pittsburgh 2017. The project is partially Dockerized.