Author

Helen K. Kurki

University of VictoriaORCID 0000-0001-9789-6584Unclaimed 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:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

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Benedikt HallgrímssoniD· 1 shared Jay DevineiD· 1 shared Jonathan R. EppiD· 1 shared Paula N. GonzáleziD· 1 shared Peter D. ClaesiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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1 shared paperBioinformatics

Benedikt HallgrímssonORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 29, 2023

Classifying high-dimensional phenotypes with ensemble learning

Jay Devine, Helen K. Kurki, Jonathan R. Epp…·Benedikt Hallgrímsson

The paper evaluates ensemble learning for classifying high-dimensional phenotypes across 20 datasets, finding ensemble models improve accuracy by up to 3% over individual learners.

3 citations

machine learning (classical)experimental assay

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