Author

Ningyuan Zhao

Xiamen UniversityORCID 0009-0003-2783-7062Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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 Han LiiD· 1 shared Ying WangiD· 1 shared Yitao ZhouiD· 1 shared Yongxuan LaiiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Fan YangORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

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

humanscRNA-seq

𝕏 PostBluesky