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eNetXplorer: an R package for the quantitative exploration of elastic net families for generalized linear models

Crossref DOI link: https://doi.org/10.1186/s12859-019-2778-5

Published Online: 2019-04-16

Published Print: 2019-12

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

Authors

Candia, Julián http://orcid.org/0000-0001-5793-8989
Tsang, John S
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Text and Data Mining valid from 2019-04-16
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Article History

Received: 5 November 2018

Accepted: 25 March 2019

First Online: 16 April 2019

Ethics approval and consent to participate

: Human data described in this paper belong to the public domain. The H1N1 influenza study was originally published in Ref. [CitationRef removed]; this investigation was approved by the Institutional Review Board of the National Institutes of Health (Protocol 09-H-0239; ClinicalTrials.gov Identifier: NCT01191853) and conducted according to the principles expressed in the Declaration of Helsinki. The acute leukemia study was originally published in Ref. [CitationRef removed]; this investigation was approved by the Institutional Review Board of the University of Maryland Baltimore and conducted according to the principles expressed in the Declaration of Helsinki.

: Not applicable.

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