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Rarity: Discovering rare cell populations from single-cell imaging data

Kaspar Märtens, View ORCID ProfileMichele Bortolomeazzi, View ORCID ProfileLucia Montorsi, View ORCID ProfileJo Spencer, View ORCID ProfileFrancesca Ciccarelli, View ORCID ProfileChristopher Yau
doi: https://doi.org/10.1101/2022.07.15.500256
Kaspar Märtens
1The Alan Turing Institute, London, UK
2Cancer Systems Biology Laboratory, Francis Crick Institute, London, UK
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Michele Bortolomeazzi
2Cancer Systems Biology Laboratory, Francis Crick Institute, London, UK
3School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom
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  • ORCID record for Michele Bortolomeazzi
Lucia Montorsi
2Cancer Systems Biology Laboratory, Francis Crick Institute, London, UK
3School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom
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  • ORCID record for Lucia Montorsi
Jo Spencer
4School of Immunology and Microbial Sciences, King’s College London, London, United Kingdom
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  • ORCID record for Jo Spencer
Francesca Ciccarelli
2Cancer Systems Biology Laboratory, Francis Crick Institute, London, UK
3School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom
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  • ORCID record for Francesca Ciccarelli
Christopher Yau
1The Alan Turing Institute, London, UK
5Division of Informatics, Imaging & Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK
6Health Data Research UK, London, UK
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  • ORCID record for Christopher Yau
  • For correspondence: christopher.yau@wrh.ox.ac.uk
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Posted July 18, 2022.
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Rarity: Discovering rare cell populations from single-cell imaging data
Kaspar Märtens, Michele Bortolomeazzi, Lucia Montorsi, Jo Spencer, Francesca Ciccarelli, Christopher Yau
bioRxiv 2022.07.15.500256; doi: https://doi.org/10.1101/2022.07.15.500256
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Rarity: Discovering rare cell populations from single-cell imaging data
Kaspar Märtens, Michele Bortolomeazzi, Lucia Montorsi, Jo Spencer, Francesca Ciccarelli, Christopher Yau
bioRxiv 2022.07.15.500256; doi: https://doi.org/10.1101/2022.07.15.500256

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