Direct comparison of the mean ROC AUC relative to the model input factor count for each of the 247 models revealed a clear trend showing that an increase in the number of input factors leads to an overall increase in the average mean and median ROC-AUC—indicating that the inclusion of a greater number of inputs generally improves prediction strength ( Fig 2A ).
← all excerpts
Systematic analysis of non-structural protein features for the prediction of PTM function potential by artificial neural networks.
1
—
—