Evaluating Sample Augmentation in Microarray Datasets with Generative Models: A Comparative Pipeline and Insights in Tuberculosis.
Ayushi Gupta, Saad Ahmad, Atharva Sune, Chandan Gupta, Harleen Kaur, Rintu Kutum, Tavpritesh Sethi
The paper evaluates generative models for sample augmentation in microarray datasets, comparing VAE, GAN, and GMM in a tuberculosis dataset to improve biomarker discovery.
bioRxiv · May 3, 2021 · PreprintGenomics