Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Gene expression microarray analyses

Clarke PA, te Poele R, Wooster R, Workman P (2001) Gene expression microarray analysis in cancer biology, pharmacology, and drug development progress and potential. Biochem Pharmacol 62 1311-1336... [Pg.769]

Ichikawa JK et al. Interaction of Pseudomonas aeruginosa with epithelial cells identification of differentially regulated genes by expression microarray analysis of humans. Proc Natl Acad Sci USA 2000 97 9659-9664. [Pg.115]

Lyng, H., Badiee, A., Svendsmd, D. H., Hovig, E., Myklebost, O., and Stokke, T. (2004). Profound influence of microarray scanner characteristics on gene expression ratios Analysis and procedure for correction. BMC Genomics 5, 10. [Pg.234]

Kerr MK, Churchill GA. 2001. Statistical design and the analysis of gene expression microarray data. Genet Res 77 123. [Pg.406]

Jeanmougin M et al (2010) Should we abandon the r-test in the analysis of gene expression microarray data a comparison of variance modeling strategies. PLoS One 5 el2336. doi 10.1371/journal.pone.0012336... [Pg.470]

Covell DG, Wallqvist A, Rabow A et al. Molecular classification of cancer unsupervised selforganizing map analysis of gene expression microarray data. Mol Cancer Ther 2003 2 317-332. [Pg.74]

IV. APPLICATION OF MICROARRAY-BASED GENE EXPRESSION PROFILING ANALYSIS TO THE CHARACTERIZATION OF THE HORMONE-RESPONSIVE PHENOTYPE OF BREAST CANCER... [Pg.559]

Kerr MK, Martin M, Churcill GA, Analysis of variance of gene expression microarray data, J. Comput. Biol., 7 819-837, 2000. [Pg.562]

Kerr, M. K., Martin, M., and Churchill, G. (2000). Analysis of variance for gene expression microarray data. Journal of Computational Biology, 1, 819-837. [Pg.154]

Mimics K, Middleton FA, Lewis DA, Levitt P. 2001. Analysis of complex brain disorders with gene expression microarrays Schizophrenia as a disease of the synapse. Trends Neurosci 24 479-486. [Pg.84]

Speed T. (2003). Statistical analysis of gene expression microarray data. Chapman and Hall/CRC, FL, USA. [Pg.400]

Originally described in analysis of plant gene expression, microarray was rapidly adopted for analysis of mammalian and lower eukaryotic transcriptosomes. Until very recently, analyses were restricted to small (approx 1000 gene) subsets or complete genomes of lower eukaryotes such as yeast. The original application in humans, used to demonstrate application of the technique, was an analysis of heat-shock proteins in T cells (4). [Pg.100]

Causton, H.C., Quackenbush, J., and Brazma, A. 2003. Microarray Gene Expression Data Analysis A Beginner s Guide. Blackwell Publishing, Oxford, UK, p. 192. [Pg.147]

COLANTUONI, C., HENRY, G., ZEGER, S., PEVSNER, J., SNOMAD Standardization and normalization of microarray data Web-accessible gene expression data analysis. Bioinformatics, 2002,18, 1540-1541. [Pg.78]


See other pages where Gene expression microarray analyses is mentioned: [Pg.141]    [Pg.403]    [Pg.526]    [Pg.205]    [Pg.11]    [Pg.12]    [Pg.38]    [Pg.50]    [Pg.107]    [Pg.108]    [Pg.124]    [Pg.353]    [Pg.368]    [Pg.399]    [Pg.412]    [Pg.418]    [Pg.447]    [Pg.526]    [Pg.1640]    [Pg.1902]    [Pg.2198]    [Pg.124]    [Pg.199]    [Pg.478]    [Pg.230]    [Pg.230]   
See also in sourсe #XX -- [ Pg.80 ]




SEARCH



Expression analysis

Gene analysis

Gene expression analysis

Gene expression microarrays microarray

Gene microarrays

Gene, genes analysis

Microarray

Microarray analysis expression

Microarrays

© 2024 chempedia.info