Author

Martin Stuart Zand

University of Rochester MedicineORCID 0000-0002-7095-8682Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Dongmei LiiD· 1 shared Irfan RahmaniD· 1 shared Maciej Lukasz GoniewicziD· 1 shared Shane P. BryaniD· 1 shared Timothy DyeiD· 1 shared Zidian XieiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Dongmei LiORCID

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2 papers

Recent·Most cited

Future Sequon Finder - A novel approach for predicting future N-linked glycosylation sequons on viral surface proteins

Shane P. Bryan, Martin Stuart Zand

Future Sequon Finder predicts future N-linked glycosylation sequons on influenza hemagglutinin by analyzing mutation frequency, surface accessibility, and genetic similarity to existing sequons.

PLoS ONE · Aug 14, 2025Peer-reviewedMicrobiology

An evaluation of RNA-seq differential analysis methods

Dongmei Li, Martin Stuart Zand, Timothy Dye, Maciej Lukasz Goniewicz, Irfan Rahman, Zidian Xie

The paper evaluates RNA-seq differential analysis methods across simulated and real data, finding EBSeq and DESeq2 perform best under specific conditions.

PLoS ONE · Sep 16, 2022Peer-reviewedBioinformatics