Data for Catalytic Resonance Theory: Forecasting the Flow of Programmable Catalytic Loops
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下载链接：
https://hdl.handle.net/11299/268118
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资源简介：
This repository exists to share the data and scripts used in the paper "Catalytic Resonance Theory: Forecasting the Flow of Programmable Catalytic Loops" by Madeline Murphy, Kyle Noordhoek, Sallye Gathmann, Paul Dauenhauer, and Christopher Bartel. The bulk of the files are contained within the `programmable-loop-directionality` folder with additional detailed information presented in the `README.md` files of each subfolder. Here we also include zips containing each of the Random Forest models that were trained along with the full grid searches generated during the study.
提供机构：
Data Repository for the University of Minnesota (DRUM)
创建时间：
2024-12-11
