Modeling transcriptional profiles of gene perturbation with deep neural network
Wenke Liu, Xuya Wang, D.R. Mani, David Fenyö
The paper uses deep neural networks to predict gene perturbation from transcriptional profiles, achieving 74.9% accuracy but with limited generalizability due to data consistency issues.