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Evaluation of colorectal cancer subtypes and cell lines using deep learning

View ORCID ProfileJonathan Ronen, Sikander Hayat, View ORCID ProfileAltuna Akalin  Correspondence email
Jonathan Ronen
1Max-Delbrück-Centrum für Molekulare Medizin, BIMSB, Berlin, Germany
2Humboldt Universität zu Berlin, Berlin, Germany
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  • ORCID record for Jonathan Ronen
Sikander Hayat
3Bayer AG, Department of Bioinformatics, Berlin, Germany
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Altuna Akalin
1Max-Delbrück-Centrum für Molekulare Medizin, BIMSB, Berlin, Germany
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  • For correspondence: altuna.akalin@mdc-berlin.de
Published 2 December 2019. DOI: 10.26508/lsa.201900517
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Article Information

vol. 2 no. 6 e201900517
DOI 
https://doi.org/10.26508/lsa.201900517
PubMed 
31792061

Published By 
Life Science Alliance
Online ISSN 
2575-1077
History 
  • Received August 7, 2019
  • Revision received November 4, 2019
  • Accepted November 5, 2019
  • Published online December 2, 2019.

Copyright & Usage 
© 2019 Ronen et al. This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

Author Information

  1. Jonathan Ronen1,2,
  2. Sikander Hayat3 and
  3. Altuna Akalin1⇑
  1. 1Max-Delbrück-Centrum für Molekulare Medizin, BIMSB, Berlin, Germany
  2. 2Humboldt Universität zu Berlin, Berlin, Germany
  3. 3Bayer AG, Department of Bioinformatics, Berlin, Germany
  1. Correspondence: altuna.akalin{at}mdc-berlin.de
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Funding

  • Helmholtz Association

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Cancer multiomics with deep learning
Jonathan Ronen, Sikander Hayat, Altuna Akalin
Life Science Alliance Dec 2019, 2 (6) e201900517; DOI: 10.26508/lsa.201900517

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Cancer multiomics with deep learning
Jonathan Ronen, Sikander Hayat, Altuna Akalin
Life Science Alliance Dec 2019, 2 (6) e201900517; DOI: 10.26508/lsa.201900517
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Volume 2, No. 6
December 2019
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