<p>GenomicSuperSignature: For transfer learning and efficient database search</p>

Sehyun Oh; Sean Davis; Levi Waldron

doi:10.7490/f1000research.1118722.1

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Oh S, Davis S and Waldron L. GenomicSuperSignature: For transfer learning and efficient database search [version 1; not peer reviewed]. F1000Research 2021, 10:763 (slides) (https://doi.org/10.7490/f1000research.1118722.1)

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GenomicSuperSignature: For transfer learning and efficient database search

Sehyun Oh¹, Sean Davis, Levi Waldron

Published 05 Aug 2021 (https://doi.org/10.7490/f1000research.1118722.1)

Author Affiliations

¹ The City University of New York, USA

Copyright © 2021 Oh S 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 05 Aug 2021

GenomicSuperSignature: For transfer learning and efficient database search
[version 1; not peer reviewed]

Sehyun Oh¹, Sean Davis, Levi Waldron

Author Affiliations

¹ The City University of New York, USA

Presented at

Bioconductor Virtual Conference 2021

Abstract

Competing Interests

No competing interests were disclosed

Keywords

PCA, public database, gene expression, transfer learning, GenomicSuperSignature, RAVmodel , RNA sequencing

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