Multiclass classification of acute lymphoblastic leukemia microarrays data using support vector machine algorithms

Keyphrases

• Microarray Data 100%
• Support Vector Machine Algorithm 100%
• Acute Lymphoblastic Leukemia 100%
• Multi-class Classification 100%
• Polynomial Kernel 40%
• One-class Support Vector Machine (OCSVM) 40%
• Leukemia Subtype 40%
• Fusion Gene 40%
• Treatment Duration 20%
• Feature Selection 20%
• F1 Score 20%
• Classification Methods 20%
• BCR-ABL 20%
• SVM-RFE 20%
• RBF Kernel 20%
• One-vs-One 20%
• Overall Accuracy 20%
• Treatment Type 20%
• Leukemia 20%
• TEL-AML1 20%
• Lymphoblast 20%
• T-cell Acute Lymphoblastic Leukemia (T-ALL) 20%
• White Blood Cells 20%
• Hyperdiploid 20%
• E2A-PBX1 20%

Biochemistry, Genetics and Molecular Biology

• Support Vector Machine 100%
• Fusion Gene 66%
• Leukocyte 33%
• Kernel Method 33%
• PBX1 33%
• Lymphoblast 33%
• Feature Extraction 33%

Medicine and Dentistry

• Acute Lymphoblastic Leukemia 100%
• Fusion Gene 33%
• Treatment Duration 16%
• Malignant Neoplasm 16%
• Leukocyte 16%
• Leukemia 16%
• Lymphoblast 16%
• Feature Extraction 16%