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Discovering gene annotations in biomedical text databases
Ali Cakmak
*
, Gultekin Ozsoyoglu
*
Corresponding author for this work
Case Western Reserve University
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Citations (Scopus)
Overview
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Keyphrases
Gene Ontology
100%
Ontological Concept
100%
Biomedical Text
100%
Text Database
100%
Gene Annotation
100%
Gene Products
80%
Semantic Pattern Matching
60%
Text Data
40%
Extraction Patterns
40%
Textual Extraction
40%
Entity Annotation
20%
Concept Base
20%
PubMed
20%
Extracting Information
20%
Computational Tools
20%
WordNet
20%
Matching Mechanism
20%
Pattern Occurrences
20%
Pattern-based Approach
20%
Human Effort
20%
High Recall
20%
Precision Level
20%
Gene Ontology Annotation
20%
Annotation Framework
20%
Gene Ontology Terms
20%
Knowledge Embedding
20%
Recall Value
20%
Annotation Study
20%
Article Abstract
20%
Annotation System
20%
Recall Performance
20%
Semantic Matching
20%
Approximate Patterns
20%
Standardized Vocabulary
20%
Biomedical Literature
20%
Flexible Matching
20%
Statistical Enrichment
20%
Phrase Matching
20%
Automated Annotation
20%
Genomic Traits
20%
Computer Science
Annotation
100%
Ontology Concept
55%
Pattern Matching
44%
Ontology
22%
Extraction Pattern
22%
Extract Information
11%
Related Knowledge
11%
Approximate Pattern
11%
Biomedical Literature
11%