GeneticsPLoS Computational BiologyPeer-reviewed
A general framework for predicting the transcriptomic consequences of non-coding variation
Moustafa Abdalla, Mohamed Abdalla
This paper introduces peaBrain, a framework using convolutional neural networks to predict transcriptomic effects of non-coding variants, showing it outperforms linear models and identifies functional eQTLs.
6 citations