Author

Justin T. Landis

University of North Carolina at Chapel HillORCID 0000-0001-5501-4934Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Michael I LoveiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 11, 2026

Efficient and Tidy Manipulation of Annotated Matrix Data with plyxp

Justin T. Landis, Michael I Love

The paper introduces plyxp, an R package that provides a grammar for efficiently manipulating annotated matrix data in the Bioconductor ecosystem.

DOI 10.64898/2026.05.06.721669

bulk RNA-seqstatistical model

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