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Novel AI method for single cell data annotation

Proteona co-founder publishes novel AI method for single cell data annotation Stefan Widua from Unsplash

Proteona co-founder publishes novel AI method for single cell data annotation

Innovative AI-driven genomic and proteomic analysis platform for improving cell therapy and immuno-oncology

SINGAPORE, 5 November 2019 - Dr Shawn Hoon, a scientific co-founder of Proteona, has published a novel AI method for single cell analysis data annotation. The article, titled “MapCell: Learning a comparative cell type distance metric with Siamese neural nets with applications towards cell-types identification across experimental datasets”, has been published on bioRxiv on 4 November 2019.

Read the full publication here.

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About Proteona

Proteona Pte. Ltd. is a new biomedical company based in Singapore, Germany, and the US that is pioneering the use of DNA barcoded antibodies to provide both proteomic and genomic information from the same single cells. Proteona is a spin-off from the National University of Singapore (NUS) and the Agency for Science, Technology and Research’s (A*STAR). The platform is a comprehensive sample to answer service that enables users to phenotype cells using standard protein markers and gain a deeper understanding of cell activity based upon their gene expression profiles.

www.proteona.com