Combination methods in microarray analysis

Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN

Volumn , Issue , 2004, Pages 625-630

  Chuang, Han Yu ^a   Liu, Hongfang ^b   Chen, Fang An ^c   Kao, Cheng Yan ^a   Hsu, D Frank ^d  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^c NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d FORDHAM UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIONICS; COMBINATORIAL MATHEMATICS; COMPUTER AIDED ANALYSIS; DATA REDUCTION; GENES; INFORMATION RETRIEVAL; LEARNING SYSTEMS; STATISTICAL METHODS;

COMBINATIONAL METHODS; GENE EXPRESSION ANALYSIS; MICROARRAYS; RESULT INTERACTIONS;

PARALLEL PROCESSING SYSTEMS;

EID: 3543126635     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. A.A. Alizadeh et al., "Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling", Nature, 2000, vol. 403, pp.503-511.
2. U. Alon et al., "Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays", Proceedings of the National Academy of Sciences, 1999, vol. 96, pp. 6745-6750.
3. A. Ben-Dor et al., "Tissue Classification with Gene Expression Profiles", Journal of Computational Biology, 2000, vol. 7, pp. 559-583.
4. H.Y. Chuang, H.K. Tsai, Y.F. Tsai and C.Y. Kao, "Ranking genes for discriminability on microarray data", Journal of Information Science and Engineering, 2003, vol. 19, pp. 953966.
5. H.Y. Chuang et al., "Identifying significant genes from microarray data", IEEE Bioinformatics and Bioengineering'04, 2004.
6. C.M.R. Ginn, P. Willett, and J. Bradshaw, "Combination of Molecular Similarity Measures Using Data Fusion", Perspectives in Drug Discovery and Design, 2000, vol. 20, pp. 1-16.
7. T. R. Golub et al., "Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring", Science, 1999, vol. 286, pp. 531-537.
8. I. Hedenfalk et al., "Gene-expression profiles in hereditary breast cancer", New England J. Med., 2001, vol. 8, pp. 344-539.
9. D.F. Hsu, J. Shapiro, and I. Taksa, "Methods of Data Fusion in Information Retreival: Rank vs. Score Combination", DIMACS Technical Report 58, 2002.
10. n)", Proceedings of I-SPAN'04, IEEE CS Press, 2004.
11. M.A. Kuriakose et al., "Selection and Validation of differentially expressed genes in head and neck cancer", manuscript.
12. K.B. Ng et al., "Predicating the effectiveness of Naïve Data Fusion on the basis of system characteristics", JASIS, 2000, vol. 51, pp. 1177-1189.
13. D.A. Notterman, U. Alon, A.J. Sierk, and A.J. Levine, "Transcriptional Gene Expression Profiles of Colorectal Adenoma, Adenocarcinoma, and Normal Tissue Examined by Oligonucleotide Arrays", Cancer Research, 2001, vol. 61, pp. 3124-3130.
14. P.J. Park, M. Pagano, and M. Bonetti, "A Nonparametric Scoring Algorithm for Identifying Informative Genes from Microarray Data", Pacific Symposium on Biocomputing, 2001, vol. 6, pp. 52-63.
15. R. Pollack et al., "Genome-wide analysis of DNA copynumber changes using cDNA microarrays", Nature Genetics, 1999, vol. 23, pp. 41-46.
16. S. F. Terrence et al., "Support Vector Machine Classification and Validation of Cancer Tissue Samples Using Microarray Expression Data", Bioinformatics, 2000, vol. 16, pp. 906-914.
17. V.G. Tusher, R. Tibshirani, and G. Chu, "Significance analysis of microarrays applied to the ionizing radiation response", Proc Natl Acad Sci USA, 2001, vol. 98(9), pp. 5116-5121.
18. C.C. Vogt, and G.W. Cotrell, "Fusion via a linear combination of scores", Info. Ret., 1999, vol. 1, pp. 151-172.
19. L. Xu, A. Krzyzak, and C.Y. Suen, "Method of Combining Multiple Classifiers and their Application to Handwriting Recognition", IEEE Trans SMC, 1992, vol. 22, pp. 418-435.