Author

Jiaxian Shen

Harvard UniversityORCID 0000-0003-4929-8955Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Assay:metagenomics· 2 Approach:statistical model· 2 Organism:bacteria (other)· 1 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Curtis HuttenhoweriD· 2 shared Eric A. FranzosaiD· 2 shared Kelsey N. ThompsoniD· 2 shared Sagun MaharjaniD· 2 shared Bailey BowcuttiD· 1 shared Himel MallickiD· 1 shared J. H. JenseniD· 1 shared Jack Thomas SumneriD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Curtis HuttenhowerORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 12, 2026

Enhanced multi-omic viral profiling from microbial community sequencing with BAQLaVa

J. H. Jensen, Sagun Maharjan, Philipp C. Münch…·Curtis Huttenhower

BAQLaVa improves viral profiling from metagenomes and metatranscriptomes, revealing reduced virome diversity in inflammatory bowel diseases and novel phage-host relationships.

2 citations

humanmetagenomics

𝕏 PostBluesky

MicrobiologyNature MethodsPeer-reviewedJan 15, 2026

✦ In-depth digest

MaAsLin 3: Refining and extending generalized multivariable linear models for meta-omic association discovery

William A. Nickols, Thomas M. Kuntz, Jiaxian Shen…·Curtis Huttenhower

MaAsLin 3 fits hurdle models separating microbial prevalence (augmented logistic) and abundance (median-adjusted log-linear) associations, improving precision over existing differential abundance tools and showing 77% of IBD associations are prevalence-driven.

191 citationstop 1%

humanmouse

𝕏 PostBluesky