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Preprocessing of Microarray Data

Interpreting the data from a microarray experiment is a challenging task. There are number of sources of systematic variations that affect the measured gene expression levels (Quackenbush, 2002). Such sources of systematic variation include  [Pg.368]

This adjusts each ratio such that the mean ratio is equal to 1. An equivalent process is to subtract a constant from the logarithm of the expression ratio (Quackenbush (2002)), [Pg.369]

There are many variations on this particular type of normalization, including scaling the individual intensities so that the mean or median intensities are the same within a single array or across all arrays, or using a selected subset of the arrayed genes rather than the entire collection. [Pg.369]


See other pages where Preprocessing of Microarray Data is mentioned: [Pg.368]    [Pg.123]    [Pg.124]   


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