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DeepEMhancer: a deep learning solution for cryo-EM volume post-processing
View ORCID ProfileR Sanchez-Garcia, View ORCID ProfileJ Gomez-Blanco, View ORCID ProfileA Cuervo, View ORCID ProfileJM Carazo, View ORCID ProfileCOS Sorzano, View ORCID ProfileJ Vargas
doi: https://doi.org/10.1101/2020.06.12.148296
R Sanchez-Garcia
1Biocomputing Unit, Centro Nacional de Biotecnología-CSIC C/ Darwin 3, 28049 Cantoblanco, Madrid, Spain
J Gomez-Blanco
2Department of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC H3A 0C7, Canada
A Cuervo
1Biocomputing Unit, Centro Nacional de Biotecnología-CSIC C/ Darwin 3, 28049 Cantoblanco, Madrid, Spain
JM Carazo
1Biocomputing Unit, Centro Nacional de Biotecnología-CSIC C/ Darwin 3, 28049 Cantoblanco, Madrid, Spain
COS Sorzano
1Biocomputing Unit, Centro Nacional de Biotecnología-CSIC C/ Darwin 3, 28049 Cantoblanco, Madrid, Spain
J Vargas
2Department of Anatomy and Cell Biology, McGill University 3640 Rue University, Montréal, QC H3A 0C7, Canada
3Departamento de Óptica, Universidad Complutense de Madrid, Avda. Complutense s/n, 28040 Ciudad Universitaria Madrid, Spain, 28040
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Posted August 17, 2020.
DeepEMhancer: a deep learning solution for cryo-EM volume post-processing
R Sanchez-Garcia, J Gomez-Blanco, A Cuervo, JM Carazo, COS Sorzano, J Vargas
bioRxiv 2020.06.12.148296; doi: https://doi.org/10.1101/2020.06.12.148296
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