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MetaR: simple, high-level languages for data analysis with the R ecosystem
View ORCID ProfileFabien Campagne, View ORCID ProfileWilliam ER Digan, View ORCID ProfileManuele Simi
doi: https://doi.org/10.1101/030254
Fabien Campagne
1The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States of America
2Clinical Translational Science Center, Weill Cornell Medicine, New York, NY, United States of America
3Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, United States of America
William ER Digan
1The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States of America
2Clinical Translational Science Center, Weill Cornell Medicine, New York, NY, United States of America
Manuele Simi
1The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, United States of America
2Clinical Translational Science Center, Weill Cornell Medicine, New York, NY, United States of America
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Posted November 04, 2015.
MetaR: simple, high-level languages for data analysis with the R ecosystem
Fabien Campagne, William ER Digan, Manuele Simi
bioRxiv 030254; doi: https://doi.org/10.1101/030254
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