2022
DOI: 10.1273/cbij.22.88
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Inference of genetic networks using random forests:Performance improvement using a new variable importance measure

Abstract: Among the various methods so far proposed for genetic network inference, this study focuses on the random-forest-based methods. Confidence values are assigned to all of the candidate regulations when taking the random-forest-based approach. To our knowledge, all of the random-forest-based methods make the assignments using the standard variable importance measure defined in tree-based machine learning techniques. Therefore, the sum of the confidence values of the candidate regulations of a certain gene from th… Show more

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