지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2002.1
- 수록면
- 224 - 232 (9page)
이용수
초록· 키워드
오류제보하기
Normalization of the data of cDNA microaray is anobligatory step during microarray experiments dueto the relatively frequent non-specific erors. Gener-ally, normalization of microaray data is based onthe null hypothesis and variance model. In theYangs model (Yang et al., 2001), at least two types ofnoises are included. The one is additive noise andthe other is multiplicative noise. Usually, backgroundis considered as one of additive noise to the signaland the variation between the signal pixels is therepresentative multiplicative noise. In this study, therelation between the signal (spot intensity minusbackground intensity) and background was observedand the influence of background on normalizationas a representative additive factor was investigated.Although the relation has not been considered as afactor affecting the normalization, it could improvethe accuracy of microaray data when the normaliza-tion was carried out considering signal/backgroundratio. The background dependent normalization de-creased the number of genes whose expression lev-els were changed significantly and it could maketheir distribution more consistent through the wholerange of signal intensities. In this study, printing pindependent normalization was also carried outregarding the printing pin as a representative multi-plicative noise. It improved the distribution of spotsin the Cy3-Cy5 scatter plot, but its effect was slight.These studies suggest that there are some influ-ences of the signals on the local backgrounds andthey must be considered for the normalization ofcDNA microarray data.
목차
등록된 정보가 없습니다.
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
An Iterative Normalization Algorithm for cDNA Microarray Medical Data Analysis
Genomics & informatics
2004 .01
-
Comparison of Normalization Methods for Defining Copy Number Variation Using Whole-genome SNP Genotyping Data
Genomics & informatics
2008 .01
-
Effect of Normalization on Detection of Differentially-Expressed Genes with Moderate Effects
Genomics & informatics
2007 .01
-
Rank-Based Nonlinear Normalization of Oligonucleotide Arrays
Genomics & informatics
2003 .01
-
New Normalization Methods using Support Vector Machine Regression Approach in cDNA Microarray Analysis
한국생물정보시스템생물학회 학술대회
2005 .01
-
Comparison of oligonucleotide-microarray and serial analysis of gene expression (SAGE) in transcript profiling analysis of megakaryocytes derived from CD34+ cells
Experimental and Molecular Medicine
2003 .01
-
Comparison between SAGE and cDNA Microarray for Quantitative Accuracy in Transcript Profiling Analyses
식물학회지
2006 .01
-
DNA Microarray 발현정보에 대한 고찰 및 통계적 분석방법 소개
Journal of The Korean Data Analysis Society
2004 .01
-
CONTINUATION THEOREMS OF THE EXTREMES UNDER POWER NORMALIZATION
Journal of applied mathematics & computing
2002 .01
-
Statistical Analysis of Gene Expression Data
한국생물정보시스템생물학회 워크샵
2001 .01
-
Experimental Designs for cDNA Microarray Data
Journal of The Korean Data Analysis Society
2006 .01
-
An LIL Vai Self-Normalization for Sequences of Sign-Invariant Random Variales
JKSS(Journal of the Korean Statistical Society)
1994 .01
-
Monitoring of Gene Regulations Using Average Rank in DNA Microarray: Implementation of R
한국데이터정보과학회지
2007 .12
-
Point Values and Normalization of Two-Direction Multiwaveletsand their Derivatives
Kyungpook Mathematical Journal
2015 .01
-
cDNA Microarray 스팟 분할을 위한 영상분할 알고리즘의 비교
Journal of The Korean Data Analysis Society
2007 .01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0