Explore projects

Journal Club for foundational machine learning topics

BFei's student group project placenta segmentator

TAD aware Regulatory Network Construction (TReNCo). The package provides scripts for constructing cell-type specific mouse TF-gene networks.

Simple Gears to help you start your own development at UT Southwestern

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

Notebooks and scripts provided here can be used for analyzing data files generated by Tecan and Biotek plate readers.

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

Course material for machine learning course offered to UTSW community.

Generate flow-rate gradients with Fluigent microfluidic pumps.

PyTorch code and models for the DINOv2 self-supervised learning method.

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