TY - JOUR AU - Chicco, Davide PY - 2017 DA - 2017/12/08 TI - Ten quick tips for machine learning in computational biology JO - BioData Mining SP - 35 VL - 10 IS - 1 AB - 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. SN - 1756-0381 UR - https://doi.org/10.1186/s13040-017-0155-3 DO - 10.1186/s13040-017-0155-3 ID - Chicco2017 ER -