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Microarrays omics

Vardhanabhuti S et al (2006) A comparison of statistical tests for detecting differential expression using Affymetrix oligonucleotide microarrays. OMICS 10 555-566. doi 10.1089/omi.2006.10.555... [Pg.470]

Examples of biomarker assays operating at different levels are given in Table 4.2. The recent development of omics technology should provide strong support to this approach (Box 4.3). Microarray analysis, for instance, can give a time-related sequence of gene responses that relate to the cellular changes of toxicity. [Pg.88]

This book picks up the array technology journey from the mid-1990s with the introduction of microarray-based gene expression analysis. The global analysis of genes by microarrays has provided a fresh and exciting view of the cellular process. More importantly, it enabled others to consider similar utility in various "omic" fields. Hence, we have witnessed the emergence of protein arrays to address proteomics. [Pg.244]

Horlacher T, Seeberger PH. The utility of carbohydrate microarrays in glycomics. Omics. 2006 10 490-498. [Pg.1223]

Belacel N, Wang Q, Cuperlovic-Culf M. Clustering methods for 102. microarray gene expression data. OMICS. 2006 10 507-531. [Pg.2221]

Quackenbush, J. 2004. Data standards for omic science. Nat. Biotechnol. 22, 613-614. Quackenbush, J. 2005. Using DNA microarrays to assay gene expression. In "Bioinformatics ... [Pg.118]

Gupta G, Surolia A, Sampathkumar SG (2010) Lectin microarrays for glycranic analysis. OMICS 14 419-436... [Pg.121]

DOUGLAS, s.E. 2007. Microarray studies of gene expression in fish. OMICS, 10(4) 474-489. [Pg.348]

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