November 7, 2024
12:15 pm – 1:15 pm
Speaker:
Tony Mangino, Department of Biostatistics, University of Kentucky
Where:
327 McVey Hall
(Zoom link: https://uky.zoom.us/j/82467171189)
Title:
Using the RGAN Package for Implementing Generative Models for Biomedical Applications
Abstract:
While generative adversarial networks (GANs) are widely implemented using a variety of software packages and programming languages, many applied researchers make use of the R Statistical Software Package to conduct their analyses. The development of the RGAN package (Neunhoeffer, 2022) now allows for a user-friendly command line interface for training GANs on tabular or image data in the R environment. This tutorial guides attendees through the process of training and evaluating a GAN trained using the RGAN framework through a real clinical example dataset.
Attendees who wish to follow along must have the following software installed: The R Statistical Software Package dated 2023 or later, the RStudio interface for R, and the R packages RGAN, torch, viridis, cli, and devtools.
Installation instructions for RGAN can be found here: https://github.com/mneunhoe/RGAN
Documentation and installation binaries for the RGAN package can be found here: https://cran.r-project.org/web/packages/RGAN/index.html