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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.
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COVID-19 risk predictor developed for UAB hackathon
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🦆 🦆 Quality Control of NGS samples🦆 🦆 Archived 0Updated