Xiaoqi Liang

TRACE provides a framework for creating traceable biomedical resources, demonstrated with a single-cell glaucoma dataset, enabling reproducible analyses and resource reuse.

BenchHub provides a modular ecosystem for community-focused benchmarking in computational biology by linking datasets, metrics, and ground truth to improve reproducibility and sustainability.

This study evaluates how large language models generate summaries of bioinformatics analyses, finding they produce readable and safe summaries but often misinterpret visualizations and lack novel insights.

The paper benchmarks spatially resolved gene expression simulation models using a framework that evaluates 13 methods across 10 datasets and 35 metrics, highlighting performance differences and factors affecting model accuracy.