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1) En pocos días la UCM nombrará a Isabel Díaz Ayuso “alumna ilustre”. He evitado hacer pública mi postura sobre dicho nombramiento con la esperanza de que no se llevaría a cabo. Hoy, pérdida toda expectativa, hago públicas las razones por las que discrepo de ese nombramiento.
@IsraelF96135088 DeepEMHancer trains on a large set of different maps and LocScaled maps. I don't see why two specific DE and LS maps should be identical. Also, DeepEMhancer performs masking based on PDB maps. So DeepEMhancer = local scaling + tight masking
@CryoTUD@SjorsScheres@biochem_fan I would have to take a look to the code to refresh but I think the normalization is based on percentil values obtained from the maps ( (x-p5)/(p95-p5)) followed by a clipping process. This will compress the histogram
@SjorsScheres@biochem_fan@IUCrJ I have not read the paper in detail but I think authors claim to use the previous knowledge accumulated in deepEMhancer to improve the alignment and seems to work. I understand that the resolution is obtained from Relion maps
@CrollTristan Those low countour "features" (why not calling it noise?) are a consequence of chunking the map into cubes, and their intensities should be negligible compared to the rest of the volume. What is the contour level?
@SjorsScheres@biochem_fan DeepEMhancer maps are not supposed to be used to evaluate resolution values. I think this is explicitly said in the DeepEMhancer paper. Agree that validation is key in cryoEM