Erney Ramírez-Aportela

AlignPCA-2D: PCA-Reduced Euclidean Vector Alignment for 2D Classification in Cryo-EM

AlignPCA-2D improves 2D classification in cryo-EM by using PCA-reduced Euclidean vector alignment, achieving competitive accuracy with lower computational cost.

How many (distinguishable) classes can we identify in Single Particle Analysis?

The paper investigates using p-values to estimate the number of distinguishable classes in cryoEM data by testing if classifications differ from random partitions.

Continuous flexibility analysis of SARS-CoV-2 Spike prefusion structures

The paper analyzes the conformational dynamics of SARS-CoV-2 Spike prefusion structures using advanced cryo-EM data and reveals a continuous flexibility space rather than discrete states.