|iFeature is capable of calculating and extracting a comprehensive spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. iFeature also integrates 12 commonly used feature clustering, selection and dimensionality reduction algorithms in order to filter out redundant features and retain useful and relevant features.|
|Please note that in order to use the predicted secondary structure, protein disorder, accessible surface area, PSSM and KNN feature descriptor groups, users need to generate and provide the predicted protein property files or train files as the input file using the standalone iFeature package (See Supplementary File ). The online web server of iFeature does not support the calculation of these feature descriptors. Please download the iFeature package for calculating these descriptors.|
Backend computation is powered by our Python package iFeature.