Hanwen Xing

The paper introduces a multi-omics integration framework that learns patient-specific embeddings from incomplete data using a variational autoencoder with a data-driven prior, achieving better performance on downstream tasks.

GPerturb models single-cell perturbation data using Gaussian processes to estimate gene-level effects and provide uncertainty estimates, showing competitive performance on simulated and real datasets.