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Explainable machine learning for diffraction patterns

Serial crystallography experiments at X-ray free-electron laser facilities produce massive amounts of data but only a fraction of these data are useful for downstream analysis. Thus, it is essential to differentiate between acceptable and unacceptable data, generally known as ‘hit’ and ‘miss’, respe...

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Detalles Bibliográficos
Autores principales:	Nawaz, Shah, Rahmani, Vahid, Pennicard, David, Setty, Shabarish Pala Ramakantha, Klaudel, Barbara, Graafsma, Heinz
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	International Union of Crystallography 2023
Materias:	Research Papers
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543671/ https://www.ncbi.nlm.nih.gov/pubmed/37791364 http://dx.doi.org/10.1107/S1600576723007446

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