4 papers
SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing
Shuyu Chen, Chen Zhu, Ye Zhang +3
Identifying therapeutic target genes from single-cell RNA sequencing (scRNA-seq) data remains a fundamental challenge in translational biology. Unlike bulk assays, scRNA-seq captur…
Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence
Kewen Cao, Jianxu Chen, Yongbing Zhang +2
Automated pathology image analysis is central to clinical diagnosis, but clinicians still ask which slide features drive a model's decision and why. Vision-language models can prod…
PathMR: Multimodal Visual Reasoning for Interpretable Pathology Diagnosis
Ye Zhang, Yu Zhou, Jingwen Qi +11
Deep learning based automated pathological diagnosis has markedly improved diagnostic efficiency and reduced variability between observers, yet its clinical adoption remains limite…
GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data Analysis
Haoyang Liu, Shuyu Chen, Ye Zhang +1
Recent advancements in machine learning have significantly improved the identification of disease-associated genes from gene expression datasets. However, these processes often req…