SCPInt: explicit disentanglement of biological and batch variation for single-cell proteomics integration
SCPInt is a deep-learning framework that integrates heterogeneous single-cell proteomics datasets by explicitly disentangling biological and batch variations, thereby outperforming existing methods in preserving biological structure while providing quantitative insights into technical biases for scalable atlas construction.