BioGAN: Enhancing Transcriptomic Data Generation with Biological Knowledge

BioGAN: Enhancing Transcriptomic Data Generation with Biological Knowledge

The advancement of computational genomics has significantly enhanced the use of data-driven solutions in disease prediction and precision medicine. Yet, challenges such as data scarcity, privacy constraints, and biases persist. Synthetic data generation offers a promising solution to these issues. H...

Full description

Saved in:
Bibliographic Details
Main Authors: Francesca Pia Panaccione, Sofia Mongardi, Marco Masseroli, Pietro Pinoli
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Bioengineering
Subjects:
synthetic transcriptomic data
generative adversarial networks
graph neural networks
generative artificial intelligence
biologically informed methods
computational biology
Online Access:https://www.mdpi.com/2306-5354/12/6/658
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2306-5354/12/6/658

Similar Items