Author

Pinli Hu

Agricultural Genomics Institute at ShenzhenORCID 0009-0004-1094-2285Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Organism:plant (other)· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Haojing ShaoiD· 2 shared Aalt D. J. van DijkiD· 1 shared Chunlian JiniD· 1 shared Dick de RidderiD· 1 shared Feng LiiD· 1 shared Hang Yang· 1 shared Huihui ZhangiD· 1 shared Jiaxing ChangiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersPlant Biology

Haojing ShaoORCID

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2 papers

Recent·Most cited

Plant BiologybioRxivPreprintJul 14, 2026

An integrative single-cell and spatial transcriptomics atlas highlights candidate regulatory factors in the development of gerbera capitulum

Yuan Gao, Feng Li, Chunlian Jin…·Jihua Wang

The paper develops an integrative single-cell and spatial transcriptomics atlas of Gerbera capitulum development, identifying candidate regulatory factors like GAGL12 involved in vasculature development.

DOI 10.64898/2026.07.05.736605

plant (other)scRNA-seq

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BioinformaticsPLoS Computational BiologyPeer-reviewedJun 1, 2026

Histology-informed spatial domain identification through multi-view graph convolutional networks

Huihui Zhang, Jiaxing Chang, Yue Sun…·Haojing Shao

This paper introduces STESH, a spatial transcriptomics clustering method that integrates gene expression, spatial location, and histology, achieving superior clustering accuracy across multiple tissue types.

DOI 10.1371/journal.pcbi.1014281

spatial transcriptomicsdeep learning

𝕏 PostBluesky