Author

Justin Kwan

University of Maryland, BaltimorePrimary ORCID profile (0000-0002-2840-6104 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Justin KwaniD1 paper · National Institute of Neurological Disorders and Stroke

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Alfredo IacoangeliiD· 1 shared Aminah Ali· 1 shared Andrea MalaspinaiD· 1 shared Andrew Deubler· 1 shared Avindra NathiD· 1 shared Bin Zhang· 1 shared Brent T. HarrisiD· 1 shared Bryan J. TraynoriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alfredo IacoangeliORCID

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1 paper

Recent·Most cited

Exploring transcriptomic and genomic latent variable correction approaches in differential expression analysis.

Yadusayan Appulingam, John Jammal, Aminah Ali, Simon Topp, Hemali P. Phatnani, Justin Kwan, Dhruv Sareen, James R. Broach, Zachary Simmons, Ximena Arcila-Londono, Edward B. Lee, Vivianna M. Van Deerlin, Neil A. Shneider, Ernest Fraenkel, Lyle W. Ostrow, , Oliver Pain

This paper evaluates combining expression-based surrogate variables and genotype-based principal components in differential expression analysis, finding the combined approach improves replicability and biological recall in ALS datasets.

Scientific Reports · Oct 11, 2026Peer-reviewedBioinformatics