Experimental design for gene microarray experiments and differential expression analysis

被引：0
|
作者：
Bobashev, GV [1 ]
Das, S [1 ]
Das, A [1 ]
机构：
[1] RTI, Div Stat Res, Res Triangle Pk, NC USA
来源：
METHODS OF MICROARRAY DATA ANALYSIS II | 2002年
关键词：
genomics; microarray; experimental design; differential expression; normalization; data quality;
D O I：
10.1007/0-306-47598-7_3
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
Advances in microarray technology open new challenges in data collection, analysis and interpretation, In this review paper, we focus on issues related to obtaining trustworthy normalized data and results of differential expression analysis. In particular, we briefly summarize discussions on sources of biological and technological variation, experimental design, design of arrays, normalization and error models, differential expression and multiple comparison issues. These issues remain major bottlenecks to developing standards and obtaining useful and applicable results of future analysis such as cluster analysis, network modeling, etc.
引用
收藏
页码：23 / 41
页数：19
相关论文
共 50 条
  • [31] Microarray analysis of differential gene expression in the midgut of Anopheles gambiae larvae
    Neira Oviedo, Marco V.
    vanEkeris, Leslie
    Corena, Maria del Pilar
    Linser, Paul J.
    AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 2006, 75 (05): : 5 - 5
  • [32] Differential gene expression of hepatocellular carcinoma using cDNA microarray analysis
    Lau, WY
    Lai, PBS
    Leung, MF
    Leung, BCS
    Wong, N
    Chen, G
    Leung, TWT
    Liew, CT
    ONCOLOGY RESEARCH, 2000, 12 (02) : 59 - 69
  • [33] Microarray analysis reveals differential gene expression in hybrid sunflower species
    Lai, Z
    Gross, BL
    Zou, Y
    Andrews, J
    Rieseberg, LH
    MOLECULAR ECOLOGY, 2006, 15 (05) : 1213 - 1227
  • [34] Microarray analysis of differential gene expression in the liver of lean and fat chickens
    Bourneuf, E
    Hérault, F
    Chicault, C
    Carré, W
    Assaf, S
    Monnier, A
    Mottier, S
    Lagarrigue, S
    Douaire, M
    Mosser, J
    Diot, C
    GENE, 2006, 372 : 162 - 170
  • [35] The analysis of the gene expression pattern by the appropriateness of specimen collection site with microarray experiments
    Kim, J. -H.
    Choi, C.
    Lee, J. -S.
    VIRCHOWS ARCHIV, 2011, 459 : S317 - S317
  • [36] Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
    Gao, X
    Song, PXK
    BMC BIOINFORMATICS, 2005, 6 (1)
  • [37] Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
    Xin Gao
    Peter XK Song
    BMC Bioinformatics, 6
  • [38] Differential co-expression analysis of a microarray gene expression profiles of pulmonary adenocarcinoma
    Fu, Shijie
    Pan, Xufeng
    Fang, Wentao
    MOLECULAR MEDICINE REPORTS, 2014, 10 (02) : 713 - 718
  • [39] Interpretation, design, and analysis of gene array expression experiments
    Miller, RA
    Galecki, A
    Shmookler-Reis, RJ
    JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2001, 56 (02): : B52 - B57
  • [40] Gene Filtering in the Analysis of Illumina Microarray Experiments
    Forcheh, Anyiawung Chiara
    Verbeke, Geert
    Kasim, Adetayo
    Lin, Dan
    Shkedy, Ziv
    Talloen, Willem
    Goehlmann, Hinrich W. H.
    Clement, Lieven
    STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 2012, 11 (02)
12345