Zixin Zhuang

The paper introduces GPCT, a pretrained transformer model for cytometry that improves sample-level prediction and interpretability across diverse datasets.

This paper introduces a neural network-based batch alignment method for cytometry data that preserves biological signals and enables hyperdimensional representation for improved disease phenotype classification.