Author

Xiaoyu Wang

Northwestern Polytechnical UniversityORCID 0000-0002-0861-0204Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xiaoyu Wang12 papers · China Academy of Chinese Medical Sciences

Biology Disciplines

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Bioinformatics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Chaoyong James YangiD· 1 shared Damian J. KrysaniD· 1 shared David R. AndesiD· 1 shared Jia Tao SongiD· 1 shared Jiajie PengiD· 1 shared Jin LiiD· 1 shared Kun Yin· 1 shared Li LiniD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Chaoyong James YangORCID

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3 papers

Recent·Most cited

MicrobiologyAntimicrobial Agents and ChemotherapyPeer-reviewedOct 4, 2024

Analogues of the anti-malaria drug mefloquine have broad spectrum antifungal activity and are efficacious in a model of disseminated Candida auris infection.

Soumitra Guin, Marhiah C. Montoya, Xiaoyu Wang…·Damian J. Krysan

The paper identifies mefloquine analogs with broad-spectrum antifungal activity, effective against Candida auris in vivo.

1 citation

experimental assayhost-pathogen & immune response

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BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedSep 19, 2023

mitoSplitter: A mitochondrial variants-based method for efficient demultiplexing of pooled single-cell RNA-seq

Xinrui Lin, Yingwen Chen, Li Lin…·Jia Tao Song

mitoSplitter uses mitochondrial RNA variants to demultiplex pooled single-cell RNA-seq data, enabling efficient analysis of multiple samples without batch effects.

17 citations

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BioinformaticsBMC BioinformaticsPeer-reviewedJun 1, 2019

Combining Gene Ontology with Deep Neural Networks to Enhance the Clustering of Single Cell RNA-Seq Data

Jiajie Peng, Xiaoyu Wang, Xuequn Shang

The paper proposes two methods integrating Gene Ontology with neural networks to improve scRNA-seq clustering, showing better performance than existing approaches.

56 citations

scRNA-seqdeep learning

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