Author

J. Trygg

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Immunology· 2 Bioengineering· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:deep learning· 3 Organism:human· 2 Assay:multiome· 2 Assay:scATAC-seq· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:chromatin & epigenetic regulation· 1

Frequent Co-Authors

I. S. Mihai· 2 shared J. Henriksson· 2 shared M. Selinger· 2 shared A. Dernstedt· 1 shared A. Richelle· 1 shared A. Vernersson· 1 shared B. Corbett· 1 shared C. McCready· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 15 mutual co-author links

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2 shared papersImmunology

I. S. Mihai

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Telomemore enables single-cell analysis of cell cycle and chromatin condensation

I. Yakovenko, I. S. Mihai, M. Selinger, W. Rosenbaum, A. Dernstedt, R. Groning, J. Trygg, L. Carroll, M. Forsell, J. Henriksson

Telomemore quantifies subtelomeric reads from single-cell data to assess chromatin condensation and complements cell cycle analysis in single-cell RNA-seq.

Nucleic Acids Research · Jan 29, 2025Peer-reviewedImmunology

A scalable, data analytics workflow for image-based morphological profiles

E. Forsgren, O. Cloarec, P. Jonsson, J. Trygg

The paper introduces a scalable data analytics workflow for interpreting high-dimensional image-based morphological data to improve drug screening efficiency.

Chemometrics and Intelligent Laboratory Systems · Nov 1, 2024Peer-reviewedCell Biology

The CD4 T cell epigenetic JUNB+ state is associated with proliferation and exhaustion

I. S. Mihai, M. Selinger, N. Boucheron, M. N. Forsell, I. Magalhaes, J. Trygg, J. Henriksson

The paper identifies a JUNB+ epigenetic state in CD4 T cells associated with proliferation, exhaustion, and memory formation, and develops a new machine learning tool to analyze its regulation.

bioRxiv · Jan 5, 2024 · PreprintImmunology

Model-based intensification of CHO cell cultures: one-step strategy from fed-batch to perfusion

A. Richelle, B. Corbett, P. Agarwal, A. Vernersson, J. Trygg, C. McCready

The paper presents a model-based strategy to optimize perfusion cultures of CHO cells using data from fed-batch experiments, achieving successful prediction across different operating modes with a single parameter set.

bioRxiv · May 19, 2022 · PreprintBioengineering