Ten Quick Tips for Machine Learning in Computational Biology

Overview

Journal BioData Min

Publisher Biomed Central

Specialty Biology

Date 2017 Dec 14

PMID 29234465

Citations 210

Authors

Davide Chicco

Affiliations

Soon will be listed here.

Abstract

Machine learning has become a pivotal tool for many projects in computational biology, bioinformatics, and health informatics. Nevertheless, beginners and biomedical researchers often do not have enough experience to run a data mining project effectively, and therefore can follow incorrect practices, that may lead to common mistakes or over-optimistic results. With this review, we present ten quick tips to take advantage of machine learning in any computational biology context, by avoiding some common errors that we observed hundreds of times in multiple bioinformatics projects. We believe our ten suggestions can strongly help any machine learning practitioner to carry on a successful project in computational biology and related sciences.

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