Combination methods in microarray analysis

Han Y. Chuang, Hongfang D Liu, Fang A. Chen, Cheng Y. Kao, D. Frank Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Microarray technology and experiment can produce thousands or tens of thousands of gene expression measurement in a single cellular mRNA sample. Selecting a list of informative differential genes from these measurement data has been the central problem for microarray analysis. Many methods to identify informative genes have been proposed in the past. However, due to the complexity of biological systems, each proposed method seems to perform nicely in a particular data set or specific experiment. It remains a great challenge to come up with a selection method for a wider spectrum of experiments and a broader variety of data sets. In this paper, we take the approach of method combination using data fusion and rank-score graph which have been used successfully in other application domains such as information retrieval, pattern recognition and tracking, and molecular similarity search. Our method combinationi sefficient and flexible and can be extended to become a general learning system for microarray gene expression analysis.

Original languageEnglish (US)
Title of host publicationProceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN
EditorsD.F. Hsu, K. Hiraki, S. Shen, H. Sudborough
Pages625-630
Number of pages6
StatePublished - 2004
Externally publishedYes
EventProceedings on the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN - Hong Kong, China
Duration: May 10 2004May 12 2004

Other

OtherProceedings on the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN
CountryChina
CityHong Kong
Period5/10/045/12/04

Fingerprint

Microarrays
Gene expression
Genes
Experiments
Data fusion
Biological systems
Information retrieval
Pattern recognition
Learning systems

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Chuang, H. Y., Liu, H. D., Chen, F. A., Kao, C. Y., & Hsu, D. F. (2004). Combination methods in microarray analysis. In D. F. Hsu, K. Hiraki, S. Shen, & H. Sudborough (Eds.), Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN (pp. 625-630)

Combination methods in microarray analysis. / Chuang, Han Y.; Liu, Hongfang D; Chen, Fang A.; Kao, Cheng Y.; Hsu, D. Frank.

Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN. ed. / D.F. Hsu; K. Hiraki; S. Shen; H. Sudborough. 2004. p. 625-630.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chuang, HY, Liu, HD, Chen, FA, Kao, CY & Hsu, DF 2004, Combination methods in microarray analysis. in DF Hsu, K Hiraki, S Shen & H Sudborough (eds), Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN. pp. 625-630, Proceedings on the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN, Hong Kong, China, 5/10/04.
Chuang HY, Liu HD, Chen FA, Kao CY, Hsu DF. Combination methods in microarray analysis. In Hsu DF, Hiraki K, Shen S, Sudborough H, editors, Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN. 2004. p. 625-630
Chuang, Han Y. ; Liu, Hongfang D ; Chen, Fang A. ; Kao, Cheng Y. ; Hsu, D. Frank. / Combination methods in microarray analysis. Proceedings of the International Symposium on Parallel Architectures, Algorithms and Networks, I-SPAN. editor / D.F. Hsu ; K. Hiraki ; S. Shen ; H. Sudborough. 2004. pp. 625-630
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