Prediction of blood cancer using leukemia gene expression data and sparsity-based gene selection methods
نویسندگان
1 Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Shiraz University of Medical Sciences, Shiraz, Iran
3 Department of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran
4 Non-Communicable Pediatric Diseases Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
5 Department of Computer Engineering, Faculty of Engineering, Ardakan University, P.O. Box 184, Ardakan, Iran
doi
10.18502/ijpho.v13i1.11629چکیده
Background: DNA microarray is a useful technology that simultaneously assesses the expression of thousands of genes. It can be utilized for the detection of cancer types and cancer biomarkers. This study aimed to predict blood cancer using leukemia gene expression data and a robust ℓ2,p-norm sparsity-based gene selection method. Materials and Methods: ...
