Selecting informative genes from microarray dataset by incorporating gene ontology

Proceedings - BIBE 2005: 5th IEEE Symposium on Bioinformatics and Bioengineering

Volumn 2005, Issue , 2005, Pages 241-245

  Xian, Xu ^a   Aidong, Zhang ^a  

^a the State University of New York   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; GENETIC ENGINEERING; INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; ONCOLOGY;

BIOLOGICAL SYSTEMS; FUNCTIONAL RELATIONSHIPS; MICROARRAY TECHNOLOGY;

GENES;

EID: 33751185128     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2005.51     Document Type: Conference Paper

References (16)

1. F. Al-Shahrour, R. Daz-Uriarte, and J. Dopazo. Fatigo: a web tool for finding significant associations of gene ontology terms with groups of genes. Bioinformatics, 20(4):578-580, 2004.
2. U. Alon, N. Barkai, D. Notterman, K. Gish, S. Ybarra, D. Mack, and A. Levine. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissue probed by oligonucleotide arrays. Proc. Natl. Acad. Sci. U.S.A., 96(12):6745-50, 1999.
3. F. Azuaje and O. Bodenreider. Incorporating ontology-driven similarity knowledge into functional genomics: An exploratory study. In In Proc. of IEEE BIBE 2004, 2004.
4. A. Ben-Dor, L. Bruhn, N. Friedman, I. Nachman, M. Schummer, and Z. Yakhini. Tissue classification with gene expression profiles, volume 7, pages 559-83, 2000.
5. T. Bø and I. Jonassen. New feature subset selection procedures for classification of expression profiles. Genome Biology, 3(4):research0017.1- 0017.11, 2002.
6. N. Bolshakova, F. Azuaje, and P. Cunningham. A knowledge-driven approach to cluster validay assessment. Bioinformatics, 21(10):2546-2547, 2005.
7. J. Cheng, S. Sun, A. Tracy, E. Hubbell, J. Morris, V. Valmeekam, A. Kimbrough, M. Cline, G. Liu, R. Shigeta, D. Kulp, and M. Siani-Rose. Netaffx gene ontology mining tool: a visual approach for microarray data analysis. Bioinformatics, 20(9):1462-1463, 2004.
8. G. Consortium. The gene ontology (go) database and informatics resource. Nucleic Acids Research, 32:D258-D261, 2004.
9. X. Cui and G. A. Churchill. Statistical tests for differential expression in cdna microarray experiments. Genome Biol., 4(4):210, 2003.
10. M. Diehn, G. Sherlock, et al. Source: a unified genomic resource of functional annotations, ontologies, and gene expression data. Nucleic Acids Research, 31(1):219-223, 2003.
11. A. K. Jain, R. P. Duin, and J. Mao. Statistical pattern recognition: A review. IEEE Transactions on pattern analysis and machine intelligence, 22(1):4-37, 2000.
12. P. J. Park, M. Pagano, and M. Bonetti. A nonparametric scoring algorithm for identifying informative genes from microarray data. In Proc. PSB, 2001.
13. D. K. Slonim. From patterns to pathways: gene expression data analysis comes of age. Nature Genetics, 32:502-8, 2002.
14. H. Wang and F. Azuaje. Gene expression correlation and gene ontology-based similarity: An assessment of quantitative relationships. In In Proc. of IEEE CIBCB 2004, 2004.
15. L. Yu and H. Liu. Redundancy based feature selection for microarray data. In Proc. of SIGKDD, 2004.
16. J. H. Zar. Bio statistical Analysis. Prentice Hall, 1998.