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An Astrocyte workflow to clean single cell or single nucleus RNA data of technical artifacts using the tool CellBender.

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

Image-based Profiling Template

Using R & Python, this R Shiny application was developed to visualize and interact with high-throughput data

An example workflow package for the BioHPC Astrocyte workflow engine.

An example workflow package for the BioHPC Astrocyte workflow engine.

An example workflow package for the BioHPC Astrocyte workflow engine.

An example workflow package for the BioHPC Astrocyte workflow engine.

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

Created by Cooper Mellema in Dr. Montillo's Deep Learning Lab University of Texas Southwestern Medical Center Lyda Hill Dept. of Bioinformatics Project centered around using different causal measures to infer Effective connectivity and DL properties

Cooper Mellema - MSTP student Parkinson's MRI & MEG machine learning identification and classification project