Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Zhi-An Huang

h-index 19 View on Semantic Scholar

We have 2 of 64 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

ScGraphTrans: Pathway-Guided Graph Learning and Domain Adaptation for Cell Type Annotation in Single-Cell RNA-seq.

The tumor microenvironment (TME) is a complex ecosystem in which intercellular communication regulates tumor progression and therapeutic response. Yet inferring cell-cell interactions from non-spatial scRNA-seq remains challenging due to incomplete ligand-receptor databases and inaccurate cell type annotations. Here, w...

Yue-Chao Li, Hai-Ru You, Meng-Chao Wei et al. · 0 citations
Jul 2026

Functionally Guided Graph Learning for Robust Cross-Patient Cell-Type Annotation in Single-Cell RNA Sequencing

Experiments on three cross-patient scRNA-seq data sets demonstrate that PathoGraph achieves stable annotation performance across 32 directed reference-to-query transfer tasks, showing competitive and stable performance compared with representative marker-based, correlation-based, and model-based annotation methods.

Yue C. Li, Mengmeng Wei, Xinfei Wang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.