Author

Adelina Rogowska-Wrzesińska

University of Southern DenmarkORCID 0000-0002-9876-0061Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Veit SchwämmleiD· 2 shared Christina E. HagenseniD· 1 shared Ole Nørregaard JenseniD· 1 shared Vasileios TsiamisiD· 1 shared Wojciech MichalakiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Veit SchwämmleORCID

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2 papers

Recent·Most cited

BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedMay 18, 2020

PolySTest: Robust statistical testing of proteomics data with missing values improves detection of biologically relevant features

Veit Schwämmle, Christina E. Hagensen, Adelina Rogowska-Wrzesińska, Ole Nørregaard Jensen

PolySTest improves proteomics data analysis by detecting differentially regulated proteins with missing values, increasing confidence and sensitivity in muscle differentiation studies.

52 citations

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedAug 25, 2019

ComplexBrowser: a tool for identification and quantification of protein complexes in large scale proteomics datasets

Wojciech Michalak, Vasileios Tsiamis, Veit Schwämmle, Adelina Rogowska-Wrzesińska

ComplexBrowser identifies and quantifies protein complexes in proteomics datasets using a supervised approach, revealing coordinated regulation and providing insights into biological processes.

15 citations

humanmouse

𝕏 PostBluesky