Xi Wang

evoCancerGPT: Generating Zero-Shot Single-Cell and Single-Sample Cancer Progression Through Transfer Learning

evoCancerGPT generates cancer progression patterns using transfer learning on single-cell RNA sequencing data, outperforming baselines in low-context scenarios.

Towards Unmanned Proteomics Data Generation: A Fully Automated Sample-to-Data System for Proteomic Experiments

The paper introduces an automated system for high-throughput proteomic data generation, demonstrating its robustness and application in spatial proteomics and plasma/cell line profiling.

Evaluation of the nano Liquid Chromatography coupled with Zeno TOF 7600 Mass Spectrometer for Cell Type-Resolved Spatial Proteomics

The paper evaluates a nanoLC-Zeno TOF platform for spatial proteomics, identifying protein groups and differential expression in gastric cancer tissue.

Biological Reasoning with Reinforcement Learning through Natural Language Enables Generalizable Zero-Shot Cell Type Annotations

This paper uses a large language model to perform zero-shot cell type annotations on scRNA-seq data, showing improved performance over existing models and providing interpretable biological rationales.