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
This is a set of python and R routines for converting imaging and mask information to radiomic features and perform simple classification task.
dockerized brat (not finished)
Program that overlays MEG dipoles onto MRI images and provides region highlighting to show where the dipoles are located.
An introduction to singularity
Three variants of regression models based on deep neural networks, random forest, and gradient boosting to predict chromatin interaction strength.
A vagrant box containing the setup necessary for building singularity images