ENNGene: an Easy Neural Network model building tool for Genomics
Eliška Chalupová, Ondřej Vaculík, Jakub Poláček, Filip Jozefov, Tomáš Majtner, Panagiotis Alexiou
ENNGene is a tool that simplifies deep learning model building for genomics data, achieving state-of-the-art results on the RBP24 dataset by incorporating evolutionary conservation and custom network tuning.
BMC Genomics · Mar 31, 2022Peer-reviewedBioinformatics