Author

Yuesong Wu

Michigan State UniversityORCID 0009-0000-5397-1167Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1 Assay:scATAC-seq· 1 Assay:scRNA-seq· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Yuying XieiD· 2 shared Benjamin DeMeoiD· 1 shared Christopher LanceiD· 1 shared Daniel B. BurkhardtiD· 1 shared Daniel KotlarziD· 1 shared Fabian Joachim TheisiD· 1 shared Haohao SuiD· 1 shared Hongzhi WeniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Yuying XieORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 25, 2026

Longitudinal modality prediction learns gene regulatory patterns: insights from a single-cell competition

Christopher Lance, Vladimir A. Shitov, Hongzhi Wen…·Malte D. Luecken

The paper presents a longitudinal multimodal benchmarking dataset and competition to evaluate modality prediction methods for gene regulatory inference, showing top models outperform existing approaches.

DOI 10.64898/2026.02.24.707614

scRNA-seqscATAC-seq

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BioinformaticsbioRxivPreprintSep 6, 2025

TESSA: A unified model to detect trajectory-preserved and spatially-variable genes in spatial transcriptomics

Yuesong Wu, Haohao Su, Nina G. Steele…·Yuehua Cui

TESSA detects trajectory-preserved and spatially-variable genes in spatial transcriptomics, improving tumor progression analysis and spatial domain detection.

DOI 10.1101/2025.09.06.674654

spatial transcriptomicsstatistical model

𝕏 PostBluesky