tag:joss.theoj.org,2005:/papers/reviewed_by/@road2statJournal of Open Source Software2018-12-05T13:38:26ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/6482018-12-05T13:38:26Z2021-02-15T11:32:56ZiRF: extracting interactions from random forestsacceptedv2.0.02018-10-04 17:13:09 UTC322018-12-05 13:38:26 UTC320181077SumantaBasuDenotes equal contribution, Department of Biological Statistics and Computational Biology, Cornell University, Department of Statistical Science, Cornell UniversityKarlKumbierDenotes equal contribution, Statistics Department, University of California, BerkeleyJamesB.BrownStatistics Department, University of California, Berkeley, Centre for Computational Biology, School of Biosciences, University of Birmingham, Molecular Ecosystems Biology Department, Biosciences Area, Lawrence Berkeley National LaboratoryBinYuStatistics Department, University of California, Berkeley, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley10.21105/joss.01077https://doi.org/10.5281/zenodo.1901907R, C++, Chttps://joss.theoj.org/papers/10.21105/joss.01077.pdfRandom Forests, Interpretable machine learning