Iterative Random Forests Data And Analyses

Name: Iterative Random Forests Data And Analyses
Creator: Department of Biological Statistics and Computational Biology, Cornell University; Statistics Department, University of California, Berkeley; Centre for Computational Biology, School of Biosciences, University of Birmingham; Molecular Ecosystems Biology Department, Lawrence Berkeley National Laboratory; Preminon, LLC; Statistics Department, University of California, Berkeley; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
Published: 2017-08-25T00:00:00+08:00

Zenodo2017-08-25 更新2026-04-07 收录

迭代随机森林

高阶交互发现

数据链接：

https://zenodo.org/record/848816 数据链接链接失效反馈

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资源简介：

This repository contains scripts to run the simulations and case studies described in: <em>iterative Random Forests to discover predictive and stable high-order interactions</em>.

提供机构：

Department of Biological Statistics and Computational Biology, Cornell University; Statistics Department, University of California, Berkeley; Centre for Computational Biology, School of Biosciences, University of Birmingham; Molecular Ecosystems Biology Department, Lawrence Berkeley National Laboratory; Preminon, LLC; Statistics Department, University of California, Berkeley; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley

创建时间：

2017-08-25