Author

Aleksander Øhrn

University of Oslo

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jan KomorowskiiD· 1 shared Karolina SmolińskaiD· 1 shared Klev DiamantiiD· 1 shared Lars FeukiD· 1 shared Mateusz GarbulowskiiD· 1 shared Nicholas BaltzeriD· 1 shared Patricia Stoll· 1 shared Susanne BornelöviD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Jan KomorowskiORCID

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1 paper

Recent·Most cited

R.ROSETTA: an interpretable machine learning framework

Mateusz Garbulowski, Klev Diamanti, Karolina Smolińska, Nicholas Baltzer, Patricia Stoll, Susanne Bornelöv, Aleksander Øhrn, Lars Feuk, Jan Komorowski

R.ROSETTA is an interpretable machine learning framework that identifies biological semantics from omics data, revealing potential gene interdependencies in autism case-control studies.

bioRxiv · Jun 10, 2020 · PreprintBioinformatics