Author

Matthew P. Mulè

National Institutes of HealthORCID 0000-0001-8457-2716Unclaimed 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:batch correction / integration· 2 Research Focus:database / resource· 2 Approach:statistical model· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:CITE-seq· 1 Organism:human· 1

Frequent Co-Authors

John S. TsangiD· 2 shared Adeeb H RahmaniD· 1 shared Alessandro SetteiD· 1 shared Alison Deckhut AugustineiD· 1 shared Alkis G. TogiasiD· 1 shared Ana Fernández-SesmaiD· 1 shared Andrew J. MartinsiD· 1 shared Aris FloratosiD· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersSystems Biology

John S. TsangORCID

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2 papers

Recent·Most cited

Systems BiologyScientific DataPeer-reviewedOct 20, 2022

The Immune Signatures Data Resource: A compendium of systems vaccinology datasets

Joann Diray‐Arce, Helen E. R. Miller, Evan Henrich…·Mayte Suárez‐Fariñas

The paper introduces the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets for comparative vaccine response analysis.

31 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsNature CommunicationsPeer-reviewedApr 19, 2022

Normalizing and denoising protein expression data from droplet-based single cell profiling

Matthew P. Mulè, Andrew J. Martins, John S. Tsang

The paper identifies noise sources in CITE-seq data and provides an R package to denoise and normalize it.

197 citationstop 1%

CITE-seqstatistical model

𝕏 PostBluesky