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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
63
Scopus citations
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Dive into the research topics of 'ProFET: Feature engineering captures high-level protein functions'. Together they form a unique fingerprint.
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Medicine & Life Sciences
Protein Engineering
100%
Proteins
26%
Nucleic Acid Precursors
18%
Datasets
16%
Boidae
15%
Genome
14%
Machine Learning
11%
Benchmarking
11%
Neuropeptides
10%
Computational Biology
9%
Amino Acid Sequence
9%
Data Analysis
7%
Databases
6%
Mathematics
Protein
76%
Engineering
59%
Genome
11%
Python
7%
Precursor
7%
Amino Acids
6%
Interpretability
6%
Multi-class
6%
Bioinformatics
6%
Alignment
6%
Machine Learning
5%
Availability
5%
Benchmark
5%
Labeling
5%
Attribute
4%
Data analysis
4%
Target
4%
Covering
4%
Knowledge
3%
Binary
3%
Range of data
3%
Performance
3%
Class
3%
Engineering & Materials Science
Proteins
66%
Genomics
10%
Neuropeptides
10%
Nucleic acids
7%
Amino acids
6%
Bioinformatics
5%
Labeling
5%
Pipelines
3%
Machine learning
3%
Availability
3%
Chemical Compounds
Protein
30%
Subcellular Localization
7%
Pipeline
6%
Nucleic Acid
4%
Amount
2%
Reaction Yield
2%
Acid
1%