Author

Congmin Xu

Georgia Institute of TechnologyORCID 0000-0003-3616-4309Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:proteomics· 1

Frequent Co-Authors

Astrid KostersiD· 1 shared Benjamin R. BabcockiD· 1 shared Chunhui WangiD· 1 shared Eliver GhosniD· 1 shared Huaiqiu ZhuiD· 1 shared Jie TaniD· 1 shared Junkai YangiD· 1 shared Mo LiiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperSystems Biology

Astrid KostersORCID

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2 papers

Recent·Most cited

Systems BiologyiSciencePeer-reviewedSep 13, 2022

Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune system

Congmin Xu, Junkai Yang, Astrid Kosters…·Eliver Ghosn

The paper introduces SuPERR-seq, a workflow for multi-omics single-cell data integration that improves cell-type classification and identifies novel immune cell subsets.

18 citations

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedSep 1, 2021

Distinguish virulent and temperate phage-derived sequences in metavirome data with a deep learning approach

Shufang Wu, Zhencheng Fang, Jie Tan…·Huaiqiu Zhu

DeePhage is a deep learning tool that classifies virulent and temperate phage-derived sequences in metavirome data with high accuracy and speed.

110 citationstop 2%

metagenomicsdeep learning

𝕏 PostBluesky