Author

Imant Daunhawer

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Bioinformatics· 1

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

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Florian BarkmanniD· 1 shared Julia Vogt· 1 shared Olga Ovcharenko· 1 shared Philip Toma· 1 shared Valentina BoevaiD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Florian BarkmannORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 4, 2024

Benchmarking Self-Supervised Learning for Single-Cell Data

Philip Toma, Olga Ovcharenko, Imant Daunhawer…·Valentina Boeva

This study benchmarks eight self-supervised learning methods on single-cell data across three tasks and eight datasets, finding SimCLR and VICReg to be the top performers.

DOI 10.1101/2024.11.04.620867

scRNA-seqmachine learning (classical)

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