Author

Sara A. Yones

Uppsala UniversityORCID 0000-0002-7201-2604Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metabolomics· 1

Frequent Co-Authors

Jan KomorowskiiD· 2 shared Klev DiamantiiD· 2 shared Alva AnnettiD· 1 shared Fredrik BarrenäsiD· 1 shared Jennifer R. S. MeadowsiD· 1 shared Linda HolmfeldtiD· 1 shared Patricia Stoll· 1 shared Rajmund Csombordi· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Jan KomorowskiORCID

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2 papers

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedMay 6, 2022

Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Sara A. Yones, Alva Annett, Patricia Stoll…·Jan Komorowski

The paper uses rule-based machine learning to identify gene expression subtypes in paediatric SLE, revealing gene networks associated with disease activity and immune pathways.

16 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsMetabolitesPeer-reviewedOct 28, 2021

MetaFetcheR: An R package for complete mapping of small compound data

Sara A. Yones, Rajmund Csombordi, Jan Komorowski, Klev Diamanti

MetaFetcheR maps small compound data by linking metabolite information across databases, resolving inconsistencies, and improving data fetching efficiency.

2 citations

metabolomicsbenchmark study

𝕏 PostBluesky