Giuseppe Jurman
Humanitas University(IT)Fondazione Bruno Kessler(IT)
Publications by Year
Research Areas
Bioinformatics and Genomic Networks, Gene expression and cancer classification, Neuroblastoma Research and Treatments, Gene Regulatory Network Analysis, Protein Degradation and Inhibitors
Most-Cited Works
- → The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation(2020)5,520 cited
- → The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation(2021)4,477 cited
- → The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models(2010)908 cited
- → The Matthews correlation coefficient (MCC) is more reliable than balanced accuracy, bookmaker informedness, and markedness in two-class confusion matrix evaluation(2021)859 cited
- → Repeatability of published microarray gene expression analyses(2009)582 cited
- → Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone(2020)574 cited