DNA Microarray Gene Expression Data Classification Using SVM and MLP with Feature Selection Methods Relief and LASSO.
If you are planning to use this code in your research, please cite this paper.
Datasets are DNA microarray gene expression data. Dataset Link.
We are using LASSO and Relief for Feature Selection and SVM and MLP for classification.
git clone https://github.com/kivancguckiran/microarray-classification
data folder should be filled with the dataset you want to classify.
Select features using Relief from alon dataset.
python relieff.py alon
Select features using LASSO from borovecki dataset.
python lasso.py borovecki
Classify using MLP with Relief features with subramanian dataset.
python classify_with_mlp.py subramanian relief
Classify using SVM with LASSO features with sun dataset.
python classify_with_svm.py sun lasso