274 related articles for article (PubMed ID: 23850840)
1. Interestingness measures and strategies for mining multi-ontology multi-level association rules from gene ontology annotations for the discovery of new GO relationships.
Manda P; McCarthy F; Bridges SM
J Biomed Inform; 2013 Oct; 46(5):849-56. PubMed ID: 23850840
[TBL] [Abstract][Full Text] [Related]
2. Cross-Ontology multi-level association rule mining in the Gene Ontology.
Manda P; Ozkan S; Wang H; McCarthy F; Bridges SM
PLoS One; 2012; 7(10):e47411. PubMed ID: 23071802
[TBL] [Abstract][Full Text] [Related]
3. Extracting Cross-Ontology Weighted Association Rules from Gene Ontology Annotations.
Agapito G; Milano M; Guzzi PH; Cannataro M
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(2):197-208. PubMed ID: 27045823
[TBL] [Abstract][Full Text] [Related]
4. Using GO-WAR for mining cross-ontology weighted association rules.
Agapito G; Cannataro M; Guzzi PH; Milano M
Comput Methods Programs Biomed; 2015 Jul; 120(2):113-22. PubMed ID: 25921876
[TBL] [Abstract][Full Text] [Related]
5. Mining rare associations between biological ontologies.
Benites F; Simon S; Sapozhnikova E
PLoS One; 2014; 9(1):e84475. PubMed ID: 24404165
[TBL] [Abstract][Full Text] [Related]
6. A relation based measure of semantic similarity for Gene Ontology annotations.
Sheehan B; Quigley A; Gaudin B; Dobson S
BMC Bioinformatics; 2008 Nov; 9():468. PubMed ID: 18983678
[TBL] [Abstract][Full Text] [Related]
7. Semantic interestingness measures for discovering association rules in the skeletal dysplasia domain.
Paul R; Groza T; Hunter J; Zankl A
J Biomed Semantics; 2014 Feb; 5(1):8. PubMed ID: 24499729
[TBL] [Abstract][Full Text] [Related]
8. Approaching the axiomatic enrichment of the Gene Ontology from a lexical perspective.
Quesada-Martínez M; Mikroyannidi E; Fernández-Breis JT; Stevens R
Artif Intell Med; 2015 Sep; 65(1):35-48. PubMed ID: 25488031
[TBL] [Abstract][Full Text] [Related]
9. DynGO: a tool for visualizing and mining of Gene Ontology and its associations.
Liu H; Hu ZZ; Wu CH
BMC Bioinformatics; 2005 Aug; 6():201. PubMed ID: 16091147
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of BioCreAtIvE assessment of task 2.
Blaschke C; Leon EA; Krallinger M; Valencia A
BMC Bioinformatics; 2005; 6 Suppl 1(Suppl 1):S16. PubMed ID: 15960828
[TBL] [Abstract][Full Text] [Related]
11. How to learn about gene function: text-mining or ontologies?
Soldatos TG; Perdigão N; Brown NP; Sabir KS; O'Donoghue SI
Methods; 2015 Mar; 74():3-15. PubMed ID: 25088781
[TBL] [Abstract][Full Text] [Related]
12. RANWAR: rank-based weighted association rule mining from gene expression and methylation data.
Mallik S; Mukhopadhyay A; Maulik U
IEEE Trans Nanobioscience; 2015 Jan; 14(1):59-66. PubMed ID: 25265613
[TBL] [Abstract][Full Text] [Related]
13. Ontology annotation: mapping genomic regions to biological function.
Thomas PD; Mi H; Lewis S
Curr Opin Chem Biol; 2007 Feb; 11(1):4-11. PubMed ID: 17208035
[TBL] [Abstract][Full Text] [Related]
14. Gene Ontology synonym generation rules lead to increased performance in biomedical concept recognition.
Funk CS; Cohen KB; Hunter LE; Verspoor KM
J Biomed Semantics; 2016 Sep; 7(1):52. PubMed ID: 27613112
[TBL] [Abstract][Full Text] [Related]
15. A knowledge-driven approach to biomedical document conceptualization.
Zheng HT; Borchert C; Jiang Y
Artif Intell Med; 2010 Jun; 49(2):67-78. PubMed ID: 20371168
[TBL] [Abstract][Full Text] [Related]
16. Gene ontology application to genomic functional annotation, statistical analysis and knowledge mining.
Martucci D; Masseroli M; Pinciroli F
Stud Health Technol Inform; 2004; 102():108-31. PubMed ID: 15853267
[TBL] [Abstract][Full Text] [Related]
17. Genealogical-based method for multiple ontology self-extension in MeSH.
Guo YW; Tang YT; Kao HY
IEEE Trans Nanobioscience; 2014 Jun; 13(2):124-30. PubMed ID: 24893362
[TBL] [Abstract][Full Text] [Related]
18. Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.
Armean IM; Lilley KS; Trotter MWB; Pilkington NCV; Holden SB
Bioinformatics; 2018 Jun; 34(11):1884-1892. PubMed ID: 29390084
[TBL] [Abstract][Full Text] [Related]
19. How to link ontologies and protein-protein interactions to literature: text-mining approaches and the BioCreative experience.
Krallinger M; Leitner F; Vazquez M; Salgado D; Marcelle C; Tyers M; Valencia A; Chatr-aryamontri A
Database (Oxford); 2012; 2012():bas017. PubMed ID: 22438567
[TBL] [Abstract][Full Text] [Related]
20. Development and application of an interaction network ontology for literature mining of vaccine-associated gene-gene interactions.
Hur J; Özgür A; Xiang Z; He Y
J Biomed Semantics; 2015; 6():2. PubMed ID: 25785184
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]