Author

Han Li

Xiamen UniversityORCID 0000-0002-9333-758XUnclaimed ORCID profile · follow to get notified of new preprints

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Han Li3 papers · Howard Hughes Medical Institute

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Fan YangiD· 1 shared Feng ZengiD· 1 shared Ningyuan ZhaoiD· 1 shared Ying WangiD· 1 shared Yitao ZhouiD· 1 shared Yongxuan LaiiD· 1 shared

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2024-2024 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Fan YangORCID

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1 paper

Recent·Most cited

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

Han Li, Yitao Zhou, Ningyuan Zhao, Ying Wang, Yongxuan Lai, Feng Zeng, 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.

Computers in Biology and Medicine · Apr 16, 2024Peer-reviewedBioinformatics