Author

Xingyu Fan

University of Electronic Science and Technology of ChinaORCID 0000-0001-5948-3746Unclaimed ORCID profile · follow to get notified of new preprints

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Xingyu Fan1 paper · Erasmus MC

Biology Disciplines

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Bioinformatics· 2

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:benchmarking· 1 Assay:protein sequence· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Yu LiiD· 2 shared Jianing ZhangiD· 1 shared Licheng ZongiD· 1 shared Qinze YuiD· 1 shared Yuqi ChengiD· 1 shared Zhihang DongiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

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6 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Yu LiORCID

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2 papers

Recent·Most cited

BioinformaticsCommunications BiologyPeer-reviewedMay 20, 2023

A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data

Yuqi Cheng, Xingyu Fan, Jianing Zhang, Yu Li

scBalance is a sparse neural network framework for cell type annotation in scRNA-seq data, showing strong performance on both common and rare cell types across large datasets.

21 citations

scRNA-seqdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 10, 2021

HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides

Qinze Yu, Zhihang Dong, Xingyu Fan…·Yu Li

This study introduces HMD-AMP, a deep learning framework for multi-label classification of antimicrobial peptides, improving performance on minor classes and handling multiple targets.

12 citations

protein sequencedeep learning

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