Microarray Work

[Paper][Datasets]

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.

Dataset

Datasets are DNA microarray gene expression data. Dataset Link.

Methods

We are using LASSO and Relief for Feature Selection and SVM and MLP for classification.

Download

git clone https://github.com/kivancguckiran/microarray-classification

Usage

data folder should be filled with the dataset you want to classify.

Examples

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