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Prioritizing pain-associated targets with machine learning
Minji Jeon
, Kathleen M. Jagodnik
, Eryk Kropiwnicki
, Daniel J. Stein
, Avi Ma'ayan
Icahn School of Medicine at Mount Sinai
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Scopus citations
Overview
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Keyphrases
Machine Learning
100%
Analgesic
100%
G Protein-coupled Receptor
100%
Area under the Receiver Operating Characteristic (AUROC)
100%
New Targets
50%
Molecular Mechanism
50%
Target Families
50%
Cell Signaling Pathways
50%
Experimental Exploration
50%
Rheumatoid Arthritis
50%
Drug Target
50%
Ion Channels
50%
Gene Ontology
50%
Protein Kinase
50%
Arthritis
50%
Pain Mechanisms
50%
Machine Learning Ensemble Model
50%
GPR132
50%
Channel Kinase
50%
Association Prediction
50%
Computational Proteomics
50%
Medicine and Dentistry
Anodyne
100%
G Protein Coupled Receptor
100%
Cytokine
50%
Isotopes of Calcium
50%
Gamma-Aminobutyric Acid
50%
Rheumatoid Arthritis
50%
Transcriptomics
50%
Arthritis
50%
Proteomics
50%
Cell Signaling Pathway
50%
Protein Kinases
50%
Ion Channel
50%
Pharmacology, Toxicology and Pharmaceutical Science
Analgesic Agent
100%
G Protein Coupled Receptor
100%
4 Aminobutyric Acid
50%
Cytokine
50%
Rheumatoid Arthritis
50%
Arthritis
50%
Protein Kinases
50%
Ion Channel
50%