Gaoyuan Du

SpatialClaw: A Memory-Augmented Autonomous Ecosystem for Spatial Omics Analysis

SpatialClaw provides a memory-augmented system for spatial omics analysis, enabling end-to-end workflows through natural language interaction and outperforming standard models in benchmarking.

Cell Type-informed Characterization of Spatial Niches from Spatial Multimodal and Multi-omics Data

SpaNECT is a framework for characterizing cell niches from spatial multimodal and multi-omics data, outperforming existing methods in diverse biological contexts.

Pathway-informed Universal Domain Adaptation for Single-cell RNA-seq Data

This paper introduces scPathOT, a pathway-informed domain adaptation method for single-cell RNA-seq data, demonstrating its ability to accurately annotate cell types and uncover functional mechanisms across diverse biological contexts.

A Multimodal Graph Learning Framework for Versatile Spatial Transcriptomics Analysis with SpatialModal

SpatialModal integrates gene expression and histological images in spatial transcriptomics to improve spatial analysis and domain identification.

Spatial geometry-aware deep learning for deciphering tissue structure from spatially resolved transcriptomics

SpatialGEO improves identification of spatial regions in spatial transcriptomics data and reveals biological insights in tumor microenvironments and mouse development.