Explore projects

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

An introduction to singularity

BFei's student group project placenta segmentator

AI segmentation for axial T2W MR Autosomal Dominant Polycystic Kidney Disease (https://github.com/aksg87/adpkd-segmentation-pytorch)

additional steps are necessary to build HON within UTSW due to proxy and firewalls

Move Flywheel data to box.com

FLywheel Gearification of https://gitlab.com/Michael_Paris/AutoMATiCA/

The general gene expression analysis pipeline of 10X Visium data

Program that overlays MEG dipoles onto MRI images and provides region highlighting to show where the dipoles are located.

Source codes to perform simulations of microtubule growth. McCormick and Cleary et al. 2023 (in preparation), "Interface-acting nucleotide controls polymerization dynamics at microtubule plus- and minus-ends".

Journal Club for foundational machine learning topics