Author

Xiangling Ji

University of VictoriaORCID 0000-0001-7074-7722Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Danielle Tsao· 1 shared Kailun BaiiD· 1 shared Li XingiD· 1 shared Min TsaoiD· 1 shared Xuekui ZhangiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Danielle Tsao

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1 paper

Recent·Most cited

BioinformaticsBioinformatics AdvancesPeer-reviewedJan 1, 2023

scAnnotate: an automated cell type annotation tool for single-cell RNA-sequencing data

Xiangling Ji, Danielle Tsao, Kailun Bai…·Xuekui Zhang

scAnnotate is a cell type annotation tool for scRNA-seq data that uses dropout information through a mixture model and ensemble learning, showing competitive performance across multiple datasets.

36 citations

scRNA-seqmachine learning (classical)

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