Improved prediction of malaria degradomes by supervised learning with SVM and profile kernel

Agriculture & Biology

• malaria 100%
• learning 88%
• proteinases 73%
• parasites 66%
• prediction 66%
• seeds 51%
• support vector machines 42%
• artificial intelligence 38%
• drug resistance 38%
• Plasmodium 37%
• cell cycle 29%
• signal transduction 28%
• hemoglobin 27%
• complement 27%
• therapeutics 25%
• digestion 24%
• drugs 21%
• genomics 20%
• infection 17%
• proteins 11%
• methodology 8%

Medicine & Life Sciences

• Malaria 89%
• Peptide Hydrolases 81%
• Learning 71%
• Parasites 54%
• Supervised Machine Learning 51%
• Catalogs 40%
• Support Vector Machine 39%
• Plasmodium 38%
• Parasitic Diseases 35%
• Genomics 32%
• Drug Resistance 29%
• Digestion 29%
• Hemoglobins 26%
• Cell Cycle 25%
• Signal Transduction 25%
• Pharmaceutical Preparations 13%
• Population 12%
• Proteins 11%
• Therapeutics 5%