Author

Nicholas Baltzer

Uppsala UniversityORCID 0000-0001-8505-403XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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

Aleksander Øhrn· 1 shared Jan KomorowskiiD· 1 shared Karolina SmolińskaiD· 1 shared Klev DiamantiiD· 1 shared Lars FeukiD· 1 shared Mateusz GarbulowskiiD· 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

Aleksander Øhrn

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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