Kejing Dong

This study shows that maleic acid enhances BCG vaccination to induce CD4+CD8+ T cells that sterilize Mtb infection in mice.

CellHermes integrates multimodal omics data using a biological language model, achieving comparable or better performance than single-cell models across various tasks.

CausCell improves explainability and controllability of single-cell data through causal disentanglement learning and counterfactual generation.

This study introduces STAMP, a novel method for genetic perturbation outcome prediction that improves accuracy across three subtasks and provides a benchmarking framework for evaluating models.

The paper clarifies that improper negative data sampling strategies can bias TCR-antigen prediction models like PanPep and advocates for consistent comparison methods.

UniTCR integrates T-cell receptor and transcriptome data using contrastive learning for diverse immunology tasks, showing superior performance on paired datasets.