Author

Fan Yang

Xiamen UniversityORCID 0000-0002-3523-1138Unclaimed ORCID profile · follow to get notified of new preprints

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Fan Yang13 papers · Grandomics (China)

Biology Disciplines

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Bioinformatics· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Assay:scRNA-seq· 2 Approach:variational autoencoder· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Feng ZengiD· 2 shared Yitao ZhouiD· 2 shared Bochao YangiD· 1 shared Chenliang QianiD· 1 shared Han LiiD· 1 shared Hongwei Jin· 1 shared Jie XiaiD· 1 shared Liangren ZhangiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Feng ZengORCID

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3 papers

Recent·Most cited

Pharmacology & ToxicologyJournal of Pharmaceutical AnalysisPeer-reviewedOct 10, 2025

Geometry-based BERT: an experimentally validated deep learning model for molecular property prediction in drug discovery

Xiang Zhang, Chenliang Qian, Bochao Yang…·Liangren Zhang

This paper introduces GEO-BERT, a deep learning model for molecular property prediction, validated through benchmarking and prospective studies on DYRK1A inhibitors.

2 citations

deep learningdrug response / drug discovery

𝕏 PostBluesky

BioinformaticsComputers in Biology and MedicinePeer-reviewedApr 16, 2024

ISMI-VAE: A Deep Learning Model for Classifying Disease Cells Using Gene Expression and SNV Data

Han Li, Yitao Zhou, Ningyuan Zhao…·Fan Yang

This paper introduces ISMI-VAE, a deep learning model that integrates SNV and gene expression data to classify disease cells, showing improved effectiveness and interpretability.

6 citations

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 22, 2023

OmniClustifyXMBD: Uncover putative cell stateswithin multiple single-cell omics datasets

Fan Yang, Yitao Zhou, Feng Zeng

OmniClustifyXMBD identifies putative cell states across diverse single-cell omics datasets by integrating adaptive signal isolation with a deep variational Gaussian mixture model clustering algorithm.

DOI 10.1101/2023.12.22.573159

scRNA-seqdeep learning

𝕏 PostBluesky