Author

Xin Ma

University of Florida HealthORCID 0000-0002-7316-1468Unclaimed ORCID profile · follow to get notified of new preprints

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Xin Ma5 papers · University of Florida

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:CITE-seq· 1 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Li CheniD· 1 shared Lijing Lin AiD· 1 shared Mudassar IqbaliD· 1 shared Qian ZhaoiD· 1 shared Qing LüiD· 1 shared Ramon C. SuniD· 1 shared Weijia JiniD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

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7 top collaborators · 9 mutual co-author links

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1 shared paperBioinformatics

Li ChenORCID

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2 papers

Recent·Most cited

BioinformaticsGenome ResearchPeer-reviewedJun 3, 2026

Reference-Informed Spatial Domain Detection Using Weak Supervision for Spatial Transcriptomics

Xin Ma, Weijia Jin, Qing Lü…·Li Chen

This paper introduces GraphScrDom, a contrastive learning model for spatial domain detection in spatial transcriptomics using weak supervision and reference data, showing strong performance across platforms and resolutions.

DOI 10.1101/gr.281260.125

spatial transcriptomicscontrastive learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 14, 2023

TriTan: An efficient triple non-negative matrix factorisation method for integrative analysis of single-cell multiomics data

Xin Ma, Lijing Lin A, Qian Zhao, Mudassar Iqbal

TriTan is a triple non-negative matrix factorisation method for single-cell multiomics data integration, offering efficient computation and improved interpretability.

2 citations

scRNA-seqscATAC-seq

𝕏 PostBluesky