Gene Ontology (GO) Prediction using Machine Learning Methods

Haoze Wu; Yangyu Zhou

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arXiv · 1711.00001

Gene Ontology (GO) Prediction using Machine Learning Methods

Haoze Wu·Yangyu Zhou

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Abstract

We applied machine learning to predict whether a gene is involved in axon regeneration. We extracted 31 features from different databases and trained five machine learning models. Our optimal model, a Random Forest Classifier with 50 submodels, yielded a test score of 85.71%, which is 4.1% higher than the baseline score. We concluded that our models have some predictive capability. Similar methodology and features could be applied to predict other Gene Ontology (GO) terms.

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Haoze Wu, Yangyu Zhou. 2019-09-26. Gene Ontology (GO) Prediction using Machine Learning Methods. https://arxiv.org/abs/1711.00001

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