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HieRFIT: Hierarchical Random Forest for Information Transfer
View ORCID ProfileYasin Kaymaz, View ORCID ProfileFlorian Ganglberger, Ming Tang, View ORCID ProfileFrancesc Fernandez-Albert, View ORCID ProfileNathan Lawless, View ORCID ProfileTimothy Sackton
doi: https://doi.org/10.1101/2020.09.16.300822
Yasin Kaymaz
1Informatics Group, Harvard University, Cambridge, MA, USA
Florian Ganglberger
2VRVis Research Center, Vienna, Austria
Ming Tang
1Informatics Group, Harvard University, Cambridge, MA, USA
Francesc Fernandez-Albert
3Global Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach an der Riss, DE
Nathan Lawless
3Global Computational Biology & Digital Sciences, Boehringer Ingelheim Pharma GmbH & Co KG, Biberach an der Riss, DE
Timothy Sackton
1Informatics Group, Harvard University, Cambridge, MA, USA
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Posted September 18, 2020.
HieRFIT: Hierarchical Random Forest for Information Transfer
Yasin Kaymaz, Florian Ganglberger, Ming Tang, Francesc Fernandez-Albert, Nathan Lawless, Timothy Sackton
bioRxiv 2020.09.16.300822; doi: https://doi.org/10.1101/2020.09.16.300822
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