Author

Marissa J. Schafer

Mayo ClinicORCID 0000-0002-1470-1583Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:spatial transcriptomics· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chase Matthew CarveriD· 2 shared Peter D. AdamsiD· 2 shared Aaron P. HavasiD· 1 shared Adam LewisiD· 1 shared Alisha Aristel· 1 shared April WehneriD· 1 shared Bing ReniD· 1 shared Christina Huan ShiiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersCell Biology

Chase Matthew CarverORCID

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2 papers

Recent·Most cited

Cell BiologybioRxivPreprintAug 10, 2026

Cellular senescence is associated with age-related loss of liver zonation and hepatocyte function

Linshan Laux, Alisha Aristel, Syed Ali…·Laura J. Niedernhofer

This study shows that cellular senescence disrupts liver zonation and hepatocyte function with age by altering gene expression and cell signaling.

DOI 10.64898/2026.08.08.743614

mousespatial transcriptomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 17, 2026

Correcting spatial transcriptomics data affected by a prevalent transcript leakage problem across platforms, species, and tissues

Christina Huan Shi, Yibo Zhai, Savio Ho-Chit Chow…·Kevin Yuk-Lap Yip

The paper identifies a widespread transcript leakage issue in spatial transcriptomics and introduces DeLeakage, a Bayesian method that improves data cleaning and cell-type annotation.

DOI 10.64898/2026.06.13.732076

spatial transcriptomicsBayesian inference

𝕏 PostBluesky