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Unsupervised analysis of multi-experiment transcriptomic patterns with SegRNA identifies unannotated transcripts

View ORCID ProfileMickaël Mendez, FANTOM Consortium Main Contributors, View ORCID ProfileMichelle S. Scott, View ORCID ProfileMichael M. Hoffman
doi: https://doi.org/10.1101/2020.07.28.225193
Mickaël Mendez
1Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
2Department of Computer Science, University of Toronto, Toronto, ON, Canada
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  • ORCID record for Mickaël Mendez
Michelle S. Scott
3Department of Biochemistry and Functional Genomics, Université de Sherbrooke, Sherbrooke, QC, Canada
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Michael M. Hoffman
1Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
2Department of Computer Science, University of Toronto, Toronto, ON, Canada
4Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
5Vector Institute, Toronto, ON, Canada
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  • For correspondence: michael.hoffman@utoronto.ca
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Article Information

doi 
https://doi.org/10.1101/2020.07.28.225193
History 
  • November 22, 2021.

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  • Version 1 (July 29, 2020 - 16:10).
  • You are viewing Version 2, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Mickaël Mendez1,2,
  2. FANTOM Consortium Main Contributors*,
  3. Michelle S. Scott3 and
  4. Michael M. Hoffman1,2,4,5,†
  1. 1Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
  2. 2Department of Computer Science, University of Toronto, Toronto, ON, Canada
  3. 3Department of Biochemistry and Functional Genomics, Université de Sherbrooke, Sherbrooke, QC, Canada
  4. 4Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
  5. 5Vector Institute, Toronto, ON, Canada
  1. ↵†Corresponding author: michael.hoffman{at}utoronto.ca
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Posted November 22, 2021.
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Unsupervised analysis of multi-experiment transcriptomic patterns with SegRNA identifies unannotated transcripts
Mickaël Mendez, FANTOM Consortium Main Contributors, Michelle S. Scott, Michael M. Hoffman
bioRxiv 2020.07.28.225193; doi: https://doi.org/10.1101/2020.07.28.225193
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Unsupervised analysis of multi-experiment transcriptomic patterns with SegRNA identifies unannotated transcripts
Mickaël Mendez, FANTOM Consortium Main Contributors, Michelle S. Scott, Michael M. Hoffman
bioRxiv 2020.07.28.225193; doi: https://doi.org/10.1101/2020.07.28.225193

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