Genomics & Genetics Weekly
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Bioinformatics
Gene selection method helps to achieve improved data quality
July 30th, 2004
Current microarray experiments allow the levels of activity of thousands of genes to be measured at once, providing a window into molecular events underlying health and disease. The selection of genes having distinct levels of activity between conditions of interest (such as cancer and noncancer) has therefore emerged as a key aim of data analysis. However, with typically many thousands of genes to choose from and at most a few dozen sets of measurements available, differential analyses of this kind are extremely challenging. Different statistical tests yield different results due to their underlying assumptions, but on real data it is usually impossible to tell which...
Source: Genomics & Genetics Weekly (2004-07-30)
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