<p>Detecting cancer cells in acute myeloid leukaemia using an auto-encoder</p>

Alice Driessen; Susanne Unger; An-phi Nguyen; Burkhard Becher; Maria Rodriguez Martinez

doi:10.7490/f1000research.1119276.1

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Driessen A, Unger S, Nguyen Ap et al. Detecting cancer cells in acute myeloid leukaemia using an auto-encoder [version 1; not peer reviewed]. F1000Research 2022, 11:1589 (poster) (https://doi.org/10.7490/f1000research.1119276.1)

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Detecting cancer cells in acute myeloid leukaemia using an auto-encoder

Alice Driessen¹, Susanne Unger, An-phi Nguyen, Burkhard Becher, Maria Rodriguez Martinez

Published 29 Dec 2022 (https://doi.org/10.7490/f1000research.1119276.1)

Author Affiliations

¹ IBM Reseach, Switzerland

Copyright © 2022 Driessen A et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 29 Dec 2022

Detecting cancer cells in acute myeloid leukaemia using an auto-encoder
[version 1; not peer reviewed]

Alice Driessen¹, Susanne Unger, An-phi Nguyen, Burkhard Becher, Maria Rodriguez Martinez

Author Affiliations

¹ IBM Reseach, Switzerland

Presented at

European Conference on Computational Biology (ECCB) 2022

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Acute Myeloid Leukemia, Auto-encoder, AML, auto encoder, cancer, cytometry, single-cell

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