Explore projects

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.

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

Statistical Enrichment Analysis of Samples (SEAS): a general-purpose tool to annotate metadata neighborhoods of biological samples

Development site for PAGER-CoV