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This project stores skeleton code, data, and instructions for labs written for the R component of the GRD 770 course taught in Fall 2019.

COVID-19 risk predictor developed for UAB hackathon

🦆🦆 Quality Control of NGS samples 🦆🦆

This tutorial allows user to run parallelism using bash scripts and array jobs. Also it contains parallel scripts for matlab and R

This project is dedicated to using various linear and nonlinear machine learning algorithms to create a model of cortical thickness as a function of various anatomic and retinotopic properties in early visual cortex.