Figure 1From: Prediction of lung tumor types based on protein attributes by machine learning algorithms The most important protein attributes selected by more than fifty percent of attribute weighting algorithms. As is evident, the features of distribution descriptor (F5.3), dipeptide composition (F1.2) and autocorrelation (F3.1) were defined important by 80% of attribute weighting models.Back to article page