Author

Arlene Kühn

German Cancer Research Center

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:proteomics· 1

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Jeroen KrijgsveldiD· 1 shared Julia HöhniD· 1 shared Karl Kristian KrulliD· 1 shared Titus Josef BrinkeriD· 1 shared

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2024-2024 · peak 1/yr

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Jeroen KrijgsveldORCID

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1 paper

Recent·Most cited

Deep learning-based proteomics enables accurate classification of bulk and single-cell samples

Karl Kristian Krull, Arlene Kühn, Julia Höhn, Titus Josef Brinker, Jeroen Krijgsveld

This paper introduces a deep learning model called Proformer for classifying bulk and single-cell proteomic samples, showing improved performance over existing methods.

bioRxiv · Feb 3, 2024 · PreprintBioinformatics