Author

Kyle Xiong

Carnegie Mellon UniversityORCID 0000-0002-3739-3595Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:Hi-C· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jian MaiD· 2 shared Ruochi ZhangiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Jian MaORCID

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2 papers

Recent·Most cited

scGHOST: Identifying single-cell 3D genome subcompartments

Kyle Xiong, Ruochi Zhang, Jian Ma

SCGHOST identifies single-cell 3D genome subcompartments using scHi-C data and provides insights into cell-to-cell variability in nuclear organization.

Nature Methods · Apr 8, 2024Peer-reviewedBioinformatics

Revealing Hi-C subcompartments by imputing high-resolution inter-chromosomal chromatin interactions

Kyle Xiong, Jian Ma

This paper introduces a computational method to infer Hi-C subcompartments from moderate-coverage datasets, outperforming existing methods and enabling cross-cell-type comparisons.

Nature Communications · Nov 7, 2019Peer-reviewedBioinformatics