New article in Bioinformatics
A new publication from our lab with Ameen and Prof. Tagkopoulos on novel neural network structure (Genetic Neural Network, GNN) which achieve 40% more accurate than other conventional architectures (MLP, RNN, BiRNN) on average for gene expression level predictions.
Eetemadi, Ameen, and Ilias Tagkopoulos. “Genetic Neural Networks: an artificial neural network architecture for capturing gene expression relationships.” Bioinformatics(2018). doi:10.1093/bioinformatics/bty945 (link), (GitHub), (pdf)