kiharalab / EM-GAN

EM-GAN is a computational tool, which enables capturing protein structure information from cryo-EM maps more effectively than raw maps. It is based on 3D deep learning. It is aimed to help protein structure modeling from cryo-EM maps.
14Updated last year

Alternatives and similar repositories for EM-GAN:

Users that are interested in EM-GAN are comparing it to the libraries listed below