Jiankang Xiong

DeepTracing disentangles lineage and intrinsic cellular variation in single-cell lineage tracing data, outperforming existing methods in clustering, phylogenetic recovery, and tumor-type classification.

scCausalVI disentangles intrinsic cellular states from treatment effects using a causality-aware generative model, outperforming existing methods in causal inference and multi-source data integration.

This paper introduces scProca, a deep generative model that integrates and generates single-cell proteomics data from transcriptomics using cross-attention mechanisms.