ProFET: Feature engineering captures high-level protein functions

Computer Science

• Functional Property 100%
• Source Codes 100%
• Art Performance 100%
• Extracted Feature 100%
• Machine Learning Approach 100%
• Interpretability 100%
• Derived Attribute 100%
• Functional Knowledge 100%

Keyphrases

• Protein Function 100%
• Feature Engineering 100%
• Protein Features 100%
• Level Function 20%
• Functional Properties 10%
• Subcellular Localization 10%
• Sequenced Genomes 10%
• New Targets 10%
• Bioinformatics 10%
• Benchmark Dataset 10%
• Structural Proteins 10%
• Multi-class 10%
• Diverse Functions 10%
• Functional Knowledge 10%
• Thermophilic 10%
• Genome-wide Analysis 10%
• Python 10%
• Source Code 10%
• Engineering Approach 10%
• Freely Available 10%
• Universal Characteristic 10%
• Art Performance 10%
• Unique Functions 10%
• Novel Protein 10%
• Lag behind 10%
• Machine Learning Approach 10%
• Manual Curation 10%
• Structural Class 10%
• External Database 10%
• Data Analysis pipeline 10%
• Nucleic Acid Binding 10%
• Neuropeptide Precursor 10%
• Protein Functionality 10%
• External Alignment 10%
• Binary Class 10%
• Informative Patterns 10%
• Feature Capture 10%
• Biological Interpretability 10%
• Amino Acid alphabet 10%

Biochemistry, Genetics and Molecular Biology

• Protein Function 100%
• Amino Acids 50%
• Subcellular Localization 50%
• Precursor 50%
• Pythonidae 50%
• Neuropeptide 50%
• Nucleic Acid Binding 50%