Fŕed́eric Precioso

scMusketeers improves cell type annotation and reduces batch effects in single-cell data using a modular autoencoder with focal loss and adversarial domain adaptation.

The paper develops a cumulative learning approach for classifying small mass spectrometry datasets using 1D-CNNs, achieving high accuracy across diverse biological contexts.