In this study, we developed the first deep learning-based approach, termed Digerati, for the rapid and accurate identification of PE and PPE family proteins.

Digerati was built upon a multipath parallel hybrid deep learning framework, which equips multi-layer convolutional neural networks with bidirectional, long�...

Some of these genes encode proteins of the PE/PPE family, which are thought to be involved in host-pathogen interactions, virulence, and disease pathogenicity.

Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins � Fuyi Li, Xudong Guo, +7 authors

Digerati was built upon a multipath parallel hybrid deep learning framework, which equips multi-layer convolutional neural net-works with bidirectional, long�...

Digerati – A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins. https://doi.org/10.1016/j.compbiomed�...

Digerati – A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins. Overview of attention for article�...

Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins. Li, F., Guo, X., Bi, Y., Jia, R., Pitt,�...

Digerati - A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins. Resource URI: https://dblp.l3s.de�...

Digerati – a multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins. Comput Biol Med 2023;163:107155�...