Incorporating biological knowledge to microarray data classification through genomic data fusion

13th Conference on Information Fusion, Fusion 2010

Volumn , Issue , 2010, Pages

  Glez Peña, Daniel ^a   Pérez Fernández, Marta ^a   Reboiro Jato, Miguel ^a   Fdez Riverola, Florentino ^a   Pérez, Marta ^a   Díaz, Fernando ^b  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

Biological relevance; Gene sets; Genetic algorithm; Microarray classification

Indexed keywords

BIOASSAY; BIOINFORMATICS; DATA FUSION; DATA MINING; GENES; GENETIC ALGORITHMS;

BIOLOGICAL RELEVANCE; CANDIDATE GENES; CLASSIFICATION ACCURACY; CLASSIFICATION MODELS; EVOLUTIONARY APPROACH; GENE SETS; HIGH-DIMENSIONAL; MICROARRAY CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 79952415862     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icif.2010.5711895     Document Type: Conference Paper

References (20)

1. F. Martin-Sanchez et al., Synergy between medical informatics and bioinformatics: facilitating genomic medicine for future health care, Journal of Biomedical Informatics, Vol. 37, Issue 1, pp 30-42, February 2004. (Pubitemid 38344105)
2. Dietrich Rebholz-Schuhman et al., SYMBIOmatics: Synergies in Medical Informatics and Bioinformatics -exploring current scientific literature for emerging topics, BMC Bioinformatics, Vol. 8, Suppl. 1, S18, March 2007.
3. Rainer Schmindt et al., Case-based reasoning for medical knowledge-based systems, International Journal of Medical Informatics, Vol. 64, Issue 2-3, pp 355-367, November 2001.
4. Stefan V. Pantazi, José F. Arocha and Jochen R. Moehr, Case-based medical informatics, BMC Medical Informatics and Decision Making, Vol. 4, No. 19, November 2004.
5. Fernando Díaz, Florentino Fdez-Riverola, Juan M. Corchado, gene-CBR: a Case-Based Reasoning Tool for Cancer Diagnosis using Microarray Datasets, Computational Intelligence, Vol. 22, Issues 3-4, pp 254-268, November 2006. (Pubitemid 44699581)
6. Daniel Glez-Peña, Fernando Díaz, Jose M. Hernández; Juan M. Corchado, Florentino Fdez-Riverola, geneCBR: a translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research, BMC Bioinformatics, 10:187, June 2009.
7. Francesca Cordero, Marco Botta and Raffaele A. Calogero, Microarray data analysis and mining approaches, Briefings in Functional Genomics and Proteomics, Vol. 6, Issue 4, pp 265-281, January 2008.
8. Riccardo Bellazzi and Blaž Zupan, Methodological Review: Towards knowledge-based gene expression data mining, Journal of Biomedical Informatics, Vol. 40, Issue 6, pp 787-802, December 2007. (Pubitemid 350088620)
9. Fernando Díaz et al., Applying GCS networks to fuzzy discretized microarray data for tumour diagnosis, Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning 2006, Burgos Spain.
10. Florentino Fdez-Riverola et al., Improving gene selection in microarray data analysis using fuzzy patterns inside a CBR system, Proceedings of the 6th International Conference on Case-Based Reasoning 2005, Chicago - Illinois, August 2005.
11. Fernando Díaz et al., Using fuzzy patterns for gene selection and data reduction on microarray data, Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning 2006, Burgos - Spain, September 2006.
12. Mitsuo Gen and Runwei Cheng, Genetic algorithms and engineering design, John Willey & Sons Inc., New York, 1997
13. Dougu Nam and Seon-Young Kim, Gene-set approach for expression pattern analysis, Briefings in Bioinformatics, Vol. 9, Issue 3, pp 189-197, January 2008. (Pubitemid 351637941)
14. Aravind Subramanian et al., Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles, Proceedings of the National Academy of Sciences of the United States of America, Vol. 102, No. 43, pp 15545-15550, October 2005. (Pubitemid 41528093)
15. Evelyn Camon et al., The Gene Ontology Annotation (GOA) project: implementation of GO in SWISS-PROT, TrEMBL, and InterPro, Genome Research, Vol. 13, Issue 4, pp 662-672, March 2003. (Pubitemid 36511925)
16. Pubmed, http://www.ncbi.nlm.nih.gov/sites/entrez?db=pubmed, accessed December 2009.
17. Alex Bateman, Database Issue: Editorial, Nucleic Acid Research, Vol. 36, Issue D1, January 2008.
18. Stein Aerts et al., Gene prioritization through genomic data fusion, Nature Biotechnology, Vol. 24, Issue 5, pp 537-544, May 2006.
19. Jair Moura Duarte, João Bosco dos Santos and Leonardo Cunha Melo, Comparison of similarity coefficients based on RAPD markers in the common bean, Genetics and Molecular Biology, Vol. 22, No. 3, pp 427-432, 1999. (Pubitemid 29447551)
20. Ron Kohavi, A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection, Proceedings of the 14th International Joint Conference on Artificial Intelligence 1995, Canada August 20-25, Vol. 14, No. 2, pp 1137-1145.