Author

Jakob Theorell

Karolinska InstitutetORCID 0000-0001-8752-3151Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1

Frequent Co-Authors

Adam M. FarkasiD· 1 shared Amir HorowitziD· 1 shared Ante PerosiD· 1 shared Aparna AnanthanarayananiD· 1 shared Axel TheorelliD· 1 shared Dina YoussefiD· 1 shared Elena González-Gugel· 1 shared François AudenetiD· 1 shared

Activity by Year

2019-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperImmunology

Adam M. FarkasORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Natural Killer Cell Dysfunction In Human Bladder Cancer Is Caused By Tissue-Specific Suppression of SLAMF6 Signaling

Adam M. Farkas, Dina Youssef, Michelle A. Tran, Sreekumar Balan, Jenna H. Newman, François Audenet, Harry Anastos, Leandra G. Velazquez, Ante Peros, Aparna Ananthanarayanan, Jorge Daza, Elena González-Gugel, Keerthi Caroline Sadanala, Jakob Theorell, Matthew D. Galsky, , Nina Bhardwaj

This study identifies SLAMF6 signaling suppression in bladder cancer tumor microenvironment as a cause of NK cell dysfunction, showing restoration of function under normoxic conditions.

bioRxiv · Apr 30, 2024 · PreprintImmunology

A topological data analysis based classification method for multiple measurement

Henri Riihimäki, Wojciech Chachólski, Jakob Theorell, Jan A. Hillert, Ryan Ramanujam

This paper introduces a topological data analysis classifier for repeated measurements, achieving high accuracy in two case studies and demonstrating its utility as a feature selection tool.

BMC Bioinformatics · Jul 29, 2020Peer-reviewedBioinformatics

Determination of essential phenotypic elements of clusters in high-dimensional entities - DEPECHE

Axel Theorell, Yenan T. Bryceson, Jakob Theorell

DEPECHE is a clustering algorithm that improves interpretability of single-cell data by retaining only relevant variables for cluster separation.

PLoS ONE · Mar 7, 2019Peer-reviewedBioinformatics