Author

Alexandra Danyi

University Medical Center UtrechtORCID 0000-0002-1857-0816Unclaimed ORCID profile · follow to get notified of new preprints

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

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Jeroen de RidderiD· 1 shared Myrthe JageriD· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperBioinformatics

Jeroen de RidderORCID

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1 paper

Recent·Most cited

BioinformaticsLifePeer-reviewedDec 21, 2021

Cancer type classification in liquid biopsies based on sparse mutational profiles enabled through data augmentation and integration

Alexandra Danyi, Myrthe Jager, Jeroen de Ridder

This paper develops a machine learning method to classify cancer cell of origin from sparse liquid biopsy data by using data augmentation and integration of multiple genomic features.

10 citations

humanwhole-genome sequencing

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