DRPPP: A machine learning based tool for prediction of disease resistance proteins in plants

Keyphrases

• Prediction Method 100%
• Machine Learning Based 100%
• R Protein 100%
• Disease Prediction 100%
• Disease Resistance Proteins 100%
• Early Identification 50%
• High-throughput 50%
• Disease Outbreaks 50%
• Plant Disease 50%
• Crop Improvement 50%
• Pathogenic Microorganisms 50%
• Machine Learning Techniques 50%
• Defense Mechanisms 50%
• 10-fold Cross Validation 50%
• Evade 50%
• Machine Learning Approach 50%
• Domain-independent 50%
• Overall Accuracy 50%
• Resistance Protein 50%
• Improvement Program 50%
• Feature Extraction 50%
• Disease Resistance 50%
• Radial Basis Function 50%
• Protein Similarity 50%
• Novel Machine 50%
• Low-similarity 50%
• Crop Loss 50%
• Domain Prediction 50%
• SVM-based 50%
• Plant Resistance Genes 50%
• LIBSVM 50%
• Similarity-based Prediction 50%
• SVM Parameters 50%
• Plant Identification 50%
• Positive Set 50%
• Negative Dataset 50%

Biochemistry, Genetics and Molecular Biology

• Crop 100%
• Microorganism 50%