Author

Asgeir Store Jakola

Sahlgrenska University HospitalORCID 0000-0002-2860-9331Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Thomas Olsson Bontell· 2 shared Alessandra VaccaroiD· 1 shared Anastasia MagoulopoulouiD· 1 shared Anja SmitsiD· 1 shared Anna DénesiD· 1 shared Anna DimbergiD· 1 shared Anna H. KlemmiD· 1 shared Arne ÖstmaniD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersCancer Biology

Thomas Olsson Bontell

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2 papers

Recent·Most cited

Cellular and molecular events organizing the assembly of tertiary lymphoid structures in glioblastoma

Alessandra Vaccaro, Fan Yang, Tiarne van de Walle, Saskia Franke, Roberta Lugano, Anna Dénes, Anastasia Magoulopoulou, Inés Cid-Fariña, Anja Smits, Lene Uhrbom, Sylwia Libard, Francesco Latini, Magnus Essand, Mats F. Nilsson, Liqun He, , Anna Dimberg

This study identifies cellular and molecular mechanisms of tertiary lymphoid structure (TLS) formation in glioblastoma, showing TLS correlate with improved survival and are driven by CD4 T cells expressing lymphotoxin β.

bioRxiv · Jul 4, 2024 · PreprintCancer Biology

Machine learning for cell classification and neighborhood analysis in glioma tissue

Leslie Solorzano, Lina Wik, Thomas Olsson Bontell, Yuyu Wang, Anna H. Klemm, Johan Öfverstedt, Asgeir Store Jakola, Arne Östman, Carolina Wählby

This paper presents a machine learning approach for cell classification in glioma tissue and identifies cell niches using graph neural networks.

Cytometry Part A · Jun 5, 2021Peer-reviewedBioinformatics