Nature Materials, Vol.18, No.5, 422-427, 2019
Avoiding common pitfalls in machine learning omic data science
This Comment describes some of the common pitfalls encountered in deriving and validating predictive statistical models from high-dimensional data. It offers a fresh perspective on some key statistical issues, providing some guidelines to avoid pitfalls, and to help unfamiliar readers better assess the reliability and significance of their results.