Article

An Integrated Statistical and Machine Learning Pipeline (FAME) for Factorial Plant Experiments

2026-06-12

Abstract excerpt

<title>Abstract</title> <p> Background Factorial experiments are fundamental to plant stress physiology, yet their analysis typically relies on fragmented workflows spanning multiple software packages. Analysis of variance (ANOVA) identifies significant effects but does not quantify relative factor importance or reveal multivariate trait relationships. Machine learning methods offer complementary insights, but...

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Literature Corpus work: 3888b50d-019a-5385-a252-c0b4822834b9
DOI: 10.21203/rs.3.rs-9869936/v1

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