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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

tes

This repo is designed to provide a set of scripts that models microbial communities using generalized Lotka-Volterra equations.

The flash-community FTP project allows users to share their files with guests.