Author

Pär Jonsson

Umeå UniversityORCID 0000-0001-8357-5018Unclaimed 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· 3 Assay:metabolomics· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1

Frequent Co-Authors

Benny BjörkblomiD· 2 shared Edvin ForsgreniD· 2 shared Bianca MiglioriiD· 1 shared David HolmbergiD· 1 shared Elin ChorelliD· 1 shared Gillian F. LovelliD· 1 shared Henrik AnttiiD· 1 shared Johan TryggiD· 1 shared

Activity by Year

2018-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Benny BjörkblomORCID

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3 papers

Recent·Most cited

The time dimension matters: Improving mode of action classification with live-cell imaging

Edvin Forsgren, Jonne Rietdijk, David Holmberg, Julia Juneblad, Bianca Migliori, Martin M. Johansson, Jordi Carreras Puigvert, Johan Trygg, Gillian F. Lovell, Ola Spjuth, Pär Jonsson

This paper introduces LCTP, a workflow for analyzing live-cell time series data to improve mode of action classification by capturing temporal phenotypes across compounds and cell lines.

Artificial Intelligence in the Life Sciences · Dec 30, 2025Peer-reviewedBioinformatics

OPLS-based Multiclass Classification and Data-Driven Inter-Class Relationship Discovery

Edvin Forsgren, Benny Björkblom, Johan Trygg, Pär Jonsson

This paper introduces OPLS-HDA, a multiclass classification method that improves upon two-class OPLS-DA by integrating hierarchical clustering, and shows it performs well across diverse datasets.

Journal of Chemical Information and Modeling · Feb 3, 2025Peer-reviewedBioinformatics

Statistical loadings and latent significance simplify and improve interpretation of multivariate projection models

Pär Jonsson, Benny Björkblom, Elin Chorell, Tommy Olsson, Henrik Antti

The paper introduces a strategy to improve OPLS model interpretation by using post-hoc linear regression and statistical t-values to enable multivariate analysis of variable significance.

bioRxiv · Jun 20, 2018 · PreprintBioinformatics