Article

Towards the Genome-scale Discovery of Bivariate Monotonic Classifiers

2023-02-22

Abstract excerpt

<h4>Motivation</h4> Bivariate monotonic classifiers (BMCs) are based on pairs of input features. Like many other models used for machine learning, they can capture non-linear patterns in high-dimensional data. At the same time, they are simple and easy to interpret. Until now, the use of BMCs on a genome scale was hampered by the high computational complexity of the search for pairs of features with a high leave-...

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Literature Corpus work: 1a121dd6-b2bd-558c-b3ae-bede266d774b
DOI: 10.1101/2023.02.22.529510

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