Explore projects

An R Shiny app for the visualization of -omics analysis results generated using the Morrison Lab's Omics Data Analyzer (ODA) tool.

Three variants of regression models based on deep neural networks, random forest, and gradient boosting to predict chromatin interaction strength.

Testing for data normality and variability, reporting sample sizes, and visualizing data groups.

An R program to visualize, normalize, and analyze -omics data such as those from microarray, metabolomics and proteomics experiments. Data are supplied as a list or table along with parameter settings, all in an Excel file.

A single-cell RNA-seq analysis workflow for data stored on the BioHPC using CellRanger and Seurat.

An RNA-seq data analysis workflow.

This is a set of python and R routines for converting imaging and mask information to radiomic features and perform simple classification task.

A general purpose Astrocyte workflow to run quality control on single cell RNA sequencing data.