Author

Lina Wik

Karolinska InstitutetORCID 0000-0001-8406-1828Unclaimed 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:cell type annotation· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Anna H. KlemmiD· 2 shared Arne ÖstmaniD· 2 shared Carolina WählbyiD· 2 shared Andrea BeháňováiD· 1 shared Asgeir Store JakolaiD· 1 shared Axel AnderssoniD· 1 shared Christophe AveneliD· 1 shared Eduard ChelebianiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Anna H. KlemmORCID

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2 papers

Recent·Most cited

BioinformaticsBiological ImagingPeer-reviewedJan 1, 2023

Visualization & Quality Control Tools for Large-scale Multiplex Tissue Analysis in TissUUmaps 3

Andrea Beháňová, Christophe Avenel, Axel Andersson…·Carolina Wählby

The paper introduces three plugins for visualization and quality control in large-scale multiplex tissue analysis to improve accuracy and user trust in automated approaches.

7 citations

spatial transcriptomicsexperimental assay

𝕏 PostBluesky

BioinformaticsCytometry Part APeer-reviewedJun 5, 2021

Machine learning for cell classification and neighborhood analysis in glioma tissue

Leslie Solorzano, Lina Wik, Thomas Olsson Bontell…·Carolina Wählby

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

10 citations

humanscRNA-seq

𝕏 PostBluesky