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Machine learning approaches to predict lupus disease activity from gene expression data

Crossref DOI link: https://doi.org/10.1038/s41598-019-45989-0

Published Online: 2019-07-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kegerreis, Brian https://orcid.org/0000-0001-9036-370X
Catalina, Michelle D. https://orcid.org/0000-0001-7884-579X
Bachali, Prathyusha https://orcid.org/0000-0001-7304-1987
Geraci, Nicholas S. https://orcid.org/0000-0003-4294-9188
Labonte, Adam C. https://orcid.org/0000-0001-7378-2638
Zeng, Chen https://orcid.org/0000-0001-7778-6388
Stearrett, Nathaniel https://orcid.org/0000-0003-3210-0201
Crandall, Keith A. https://orcid.org/0000-0002-0836-3389
Lipsky, Peter E. https://orcid.org/0000-0002-9287-1676
Grammer, Amrie C. https://orcid.org/0000-0001-7142-2284
License Information

Text and Data Mining valid from 2019-07-03

Version of Record valid from 2019-07-03
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Article History

Received: 31 October 2018

Accepted: 4 June 2019

First Online: 3 July 2019

Competing Interests

: The authors declare no competing interests.