Dimension Reduction and Classifier-Based Feature Selection for Oversampled Gene Expression Data and Cancer Classification
Published in Processes, 2023
Recommended citation: Petinrin, O. O., Saeed, F., Salim, N., Toseef, M., Liu, Z., & Muyide, I. O. (2023). "Dimension Reduction and Classifier-Based Feature Selection for Oversampled Gene Expression Data and Cancer Classification". Processes, 11(7), 1940. https://doi.org/10.3390/pr11071940
The study used SVMSMOTE for the oversampling of the six examined datasets. Furthermore, different techniques were examined for feature selection using dimension reduction methods and classifier-based feature ranking and selection.
Recommended citation: Petinrin, O. O., Saeed, F., Salim, N., Toseef, M., Liu, Z., & Muyide, I. O. (2023). “Dimension Reduction and Classifier-Based Feature Selection for Oversampled Gene Expression Data and Cancer Classification”. Processes, 11(7), 1940.