Ten quick tips for sequence-based prediction of protein properties using machine learning
We are happy to share our latest publication about protein property prediction using machine learning by Qingzhen Hou, Katharina Waury, Dea Gogishvili, Anton Feenstra. Abstract The ubiquitous availability of genome sequencing data explains the popularity of machine learning-based methods for the prediction of protein properties from their amino acid sequences. Over the years, while revising our own work, reading submitted manuscripts as well as published papers, we have noticed several recurring issues, which make some reported findings hard to understand…