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In order to distinguish 'signal' and 'noise' intensity, background filtering was done by removing error model based "absent-called" sequences and those with intensity values lower than 2× standard deviations of chip background.
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Data filtering was done using Spotfire 9.1.1.
Data filtering was done on HKL2000.
Filtering was done on 800 samples.
This filtering was done after normalization.
Filtering is done by the telecommunications ministry.
Finally, simple sort and filtering is done.
Background filtering was not done, since the high background levels necessitated a high background cut-off that resulted in the elimination of a number of true positives (expression-validated genes; see below) from the analysis.
Local background filtering was applied and LOWESS was adopted to normalize the data [44].
Spam filters are doing their job.
Background correction was done for autofluorescence.
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