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ProFET: Feature engineering captures high-level protein functions
Dan Ofer,
Michal Linial
*
*
Corresponding author for this work
Department of Biological Chemistry
Research output
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Contribution to journal
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Article
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peer-review
75
Scopus citations
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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%