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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2007.10
- 수록면
- 707 - 711 (5page)
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초록· 키워드
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Microarray gene expression data is believed to show the functions of living organism through the gene expression values. We have studied a method to get the informative genes from the microarray gene expression data. There are several ways for this. In recent researches to get more sophisticated and detailed results, it has used the intelligence information theory like fuzzy theory. Some methods are to add fudge factors to the significance test for more refined results.
In this paper, we suggest a method to get informative genes from microarray gene expression data. We combined the difference of means between two groups and the fuzzy membership degree which reflects the variance of the gene expression data. We have called our significance test the Fuzzy Information method for Gene ExpRession data(FIGER). The FIGER calculates FIGER variation ratio and FIGER membership degree to show how strongly each object belongs to the each group and then it results in the significance degree of each gene. The FIGER is focused on the variation and distribution of the data set to adjust the significance level. Our simulation shows that the FIGER-test is an effective and useful significance test.
In this paper, we suggest a method to get informative genes from microarray gene expression data. We combined the difference of means between two groups and the fuzzy membership degree which reflects the variance of the gene expression data. We have called our significance test the Fuzzy Information method for Gene ExpRession data(FIGER). The FIGER calculates FIGER variation ratio and FIGER membership degree to show how strongly each object belongs to the each group and then it results in the significance degree of each gene. The FIGER is focused on the variation and distribution of the data set to adjust the significance level. Our simulation shows that the FIGER-test is an effective and useful significance test.
목차
Abstract
1. 서론
2. Related Researches
3. FIGER Significance Test
4. Simulation Method and Results
5. Conclusion
6. References
저자소개
참고문헌 (10)
참고문헌 신청
1. [학술지(정기간행물)] - / / http://www.gene-chips.com/
2. [학술지(정기간행물)] - / 2006 / FM test: a fuzzy set theory based approach to differential gene expression data analysis 7 (4) : S7 ~
3. [학술지(정기간행물)] - / 2001 / Significance analysis of microarrays applied to the ionizing radiation response 98 (9) : 511 ~ 521
4. [학술지(정기간행물)] - / / http://www.ncbi.nlm.nih.gov/
5. [학술지(정기간행물)] - / / ftp://ftp.ncbi.nih.gov/pub/geo/
2. [학술지(정기간행물)] - / 2006 / FM test: a fuzzy set theory based approach to differential gene expression data analysis 7 (4) : S7 ~
3. [학술지(정기간행물)] - / 2001 / Significance analysis of microarrays applied to the ionizing radiation response 98 (9) : 511 ~ 521
4. [학술지(정기간행물)] - / / http://www.ncbi.nlm.nih.gov/
5. [학술지(정기간행물)] - / / ftp://ftp.ncbi.nih.gov/pub/geo/
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UCI(KEPA) : I410-ECN-0101-2009-028-015048883