<p>Data re-use enables ML-based analysis of rare diseases</p>

Casey Greene

doi:10.7490/f1000research.1116793.1

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Greene C. Data re-use enables ML-based analysis of rare diseases [version 1; not peer reviewed]. F1000Research 2019, 8:729 (slides) (https://doi.org/10.7490/f1000research.1116793.1)

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Data re-use enables ML-based analysis of rare diseases

Casey Greene¹

Published 23 May 2019 (https://doi.org/10.7490/f1000research.1116793.1)

Author Affiliations

¹ University of Pennsylvania, USA

Copyright © 2019 Greene C. 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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Published 23 May 2019

Data re-use enables ML-based analysis of rare diseases
[version 1; not peer reviewed]

Casey Greene¹

Author Affiliations

¹ University of Pennsylvania, USA

Presented at

Artificial Intelligence for Data Discovery and Reuse (AIDR) 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

rare disease, transcriptomics, machine learning, public data

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