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Visualizar Tese - Instituto de Biociências - Unesp

Visualizar Tese - Instituto de Biociências - Unesp

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Technologies, Santa Clara, CA). Statistical analysis was performed using backgroundcorrectedmean signal intensities from each dye channel. Microarray data were normalizedusing intensity-<strong>de</strong>pen<strong>de</strong>nt global normalization (LOWESS) using Feature Extractionv.10.1.1.1 software (Agilent Technologies, Santa Clara, CA).Significant genes based on expression analysis. The raw data from array scans werenormalized by median-centering genes for each array, and log 2 transformed. Additionally,genes with 30 or more ‘absent’ scores were filtered out. A total of 16354 sequences wereanalyzed. In or<strong>de</strong>r to i<strong>de</strong>ntify significant genes, the Significance Analysis of Microarrays(SAM) method was applied [24]. The False Discovery Ratio (FDR)

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