Author

Xiuyu Ma

University of Wisconsin–Madison

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Christina M. KendziorskiiD· 2 shared Michael A. NewtoniD· 2 shared Keegan D. KorthaueriD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Christina M. KendziorskiORCID

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2 papers

Recent·Most cited

BioinformaticsThe Annals of Applied StatisticsPeer-reviewedJun 1, 2021

A Compositional Model To Assess Expression Changes From Single-Cell RNA-Seq Data

Xiuyu Ma, Keegan D. Korthauer, Christina M. Kendziorski, Michael A. Newton

The paper introduces an empirical Bayesian mixture model to detect distributional expression changes in single-cell RNA-seq data, showing improved sensitivity over standard approaches.

5 citations

scRNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 19, 2020

EBSeq: improving mixing computations for multi-group differential expression analysis

Xiuyu Ma, Christina M. Kendziorski, Michael A. Newton

EBSeq improves computational efficiency for multi-group differential expression analysis by updating algorithms and pruning techniques.

1 citation

bulk RNA-seqstatistical model

𝕏 PostBluesky