Identification of PNH Affected Cells by Classifying Motion Characteristics of Single Molecules

Mathematics

• Trajectory 55%
• Cell 52%
• Motion 51%
• Microscopy 41%
• Random Forest 20%
• Genetic Programming 19%
• K-nearest Neighbor 19%
• Support Vector Machine 17%
• Learning Algorithm 16%
• Classifier 15%
• Machine Learning 15%
• Nearest Neighbor 14%
• Evidence 11%

Engineering & Materials Science

• Molecules 68%
• Trajectories 49%
• Microscopic examination 30%
• Genetic programming 16%
• Random forests 14%
• Cells 13%
• Labels 11%
• Learning algorithms 11%
• Support vector machines 11%
• Machine learning 10%
• Classifiers 9%

Medicine & Life Sciences

• Paroxysmal Hemoglobinuria 100%
• Microscopy 29%
• Support Vector Machine 21%
• Forests 21%
• Machine Learning 20%