Data mining powered by the gene ontology
Author:
Affiliation:
1. Department of Computer Science University of North Carolina at Greensboro Greensboro North Carolina
Publisher
Wiley
Subject
General Computer Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/widm.1359
Reference44 articles.
1. Novel symmetry-based gene-gene dissimilarity measures utilizing Gene Ontology: Application in gene clustering
2. Gene-Ontology-based clustering of gene expression data
3. Using GO-WAR for mining cross-ontology weighted association rules
4. Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations
5. Agrawal R. Srikant R.(1994). Fast algorithms for mining association rules. InProceedings of the 20th International Conference on Very Large Data Bases VLDB(Vol. 1215 pp.487–499).
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