Author

Niry Andriamanga

Helmholtz Munich

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

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Research Focus:cell type annotation· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

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Fabian Joachim TheisiD· 1 shared Maren BüttneriD· 1 shared Niklas Köhler· 1 shared

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2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Fabian Joachim TheisORCID

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1 paper

Recent·Most cited

Deep learning does not outperform classical machine learning for cell-type annotation

Niklas Köhler, Maren Büttner, Niry Andriamanga, Fabian Joachim Theis

This study evaluates 10 classification methods across 14 datasets and finds that deep learning does not outperform classical machine learning for cell-type annotation.

bioRxiv · Jun 24, 2021 · PreprintBioinformatics