Author

Markus Karlander

Region Västra GötalandORCID 0000-0003-4262-3049Unclaimed 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:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Johan ZelanoiD· 1 shared Saman Hosseini AshtianiiD· 1 shared Sarah AkeliD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Johan ZelanoORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintMar 19, 2026

Permutation-calibrated stability discovery under ???? >> ????: A leak-controlled Machine Learning framework identifies candidate proteomics panels in antiseizure medication-related side effects

Saman Hosseini Ashtiani, Markus Karlander, Sarah Akel, Johan Zelano

The paper develops a leak-controlled machine learning framework to identify robust proteomics panels for antiseizure medication-related CNS side effects using high-dimensional plasma proteomic data.

DOI 10.64898/2026.02.24.707860

humanproteomics

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