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Interpretable Autoencoders Trained on Single Cell Sequencing Data Can Transfer Directly to Data from Unseen Tissues

Julie Sparholt Walbech1,2, Savvas Kinalis1, Ole Winther1

  • 1Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark.

Cells
|January 11, 2022
PubMed
Summary

Autoencoders can generalize to model unseen single-cell RNA sequencing data, enabling biological module extraction and denoising without retraining. This demonstrates their potential for interpreting new biological datasets effectively.

Keywords:
artificial neural networksautoencoders (AE)deep learningsingle-cell mRNA-sequencing datatransfer learning

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