Machine Learning for Cancer Subtype Prediction with FSA Method

Mathematics

• Random Forest 100%
• Feature Selection 92%
• Support Vector Machine 86%
• Cancer Classification 83%
• Machine Learning 75%
• Cancer 70%
• Prediction Model 58%
• Prediction 54%
• Human 41%
• Naive Bayes Classifier 39%
• Cell 33%
• Lung 30%
• Gene Expression Data 30%
• Gene Expression 28%
• Learning Algorithm 27%
• Empirical Study 25%
• Neural Networks 21%
• Predict 21%
• Efficient Algorithms 19%
• Line 15%
• Demonstrate 13%

Engineering & Materials Science

• Random forests 54%
• Feature extraction 52%
• Machine learning 50%
• Support vector machines 41%
• Gene expression 37%
• Cells 33%
• Learning algorithms 14%
• Classifiers 12%
• Neural networks 10%