<p>Exploiting protein sequence deep learning embeddings for sub-peroxisomal localisation</p>

LifeGlimmer GmbH

doi:10.7490/f1000research.1118381.1

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GmbH L. Exploiting protein sequence deep learning embeddings for sub-peroxisomal localisation [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):1339 (slides) (https://doi.org/10.7490/f1000research.1118381.1)

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Exploiting protein sequence deep learning embeddings for sub-peroxisomal localisation

LifeGlimmer GmbH¹

Published 16 Nov 2020 (https://doi.org/10.7490/f1000research.1118381.1)

Author Affiliations

¹ Lifeglimmer GmbH, Germany

Copyright © 2020 GmbH L. 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 16 Nov 2020

Exploiting protein sequence deep learning embeddings for sub-peroxisomal localisation
[version 1; not peer reviewed]

LifeGlimmer GmbH¹

Author Affiliations

¹ Lifeglimmer GmbH, Germany

Presented at

Bioinformatics and Computational Biology Conference BBCC (2020)

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Machine Learning, Deep Learning embedding, Peroxisomes, Mitochondria, Sub-cellular localisation

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