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D’or: deep orienter of protein–protein interaction networks
Daniel Pirak
,
Roded Sharan
School of Electrical Engineering
School of Computer Science and AI
Tel Aviv University
Research output
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Contribution to journal
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Article
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peer-review
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Dive into the research topics of 'D’or: deep orienter of protein–protein interaction networks'. Together they form a unique fingerprint.
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Keyphrases
Protein-protein Interaction
100%
Protein-protein Interaction Network
100%
Orienter
100%
Network Orientation
33%
Gene-gene
16%
Signaling Pathway
16%
Encoder
16%
Disease Genes
16%
Signal Transduction
16%
Deep Learning
16%
Computational Approach
16%
Small Fraction
16%
Measurement Techniques
16%
Public Database
16%
One-at-a-time
16%
Information Gap
16%
Cause-effect
16%
Orienting Network
16%
Cancer Driver Genes
16%
Interaction Measurement
16%
Interaction Orientation
16%
Proximity Score
16%
Computer Science
Deep Learning Method
100%
Learning Approach
100%
Computational Approach
100%
Signaling Pathway
100%
Information Gap
100%
Biochemistry, Genetics and Molecular Biology
Signal Transduction
100%
Protein Interaction
50%