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Once the normalization curve was estimated, data points out of the range were also normalized.
The software develops a non-linear normalization curve for each microarray and uses a piecewise linear running median to normalize the data.
Fitting this data to a normalization curve such as with EARL requires a reconstruction protocol secondary to the default high definition protocol.
It then fits a normalization curve across the array using the locally weighted linear regression curve fit (LOWESS) algorithm to detect and correct dye bias.
This allowed for groups with optimal GC content, which exhibited a reduced quality issue, to receive a normalization curve specific to that group.
Due to its estimation procedure, its normalization curve is considered as estimated mostly based on unexpressed clones (which should be the majority) in each small segment of A [40] (we used 50 segments).
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Notice the difference between the normalization curves at large A values.
(C ) Sigmoid fits from input strength normalization curves for three example slices reveal the need for a normalization procedure to compare physiologically equivalent input intensities among experiments.
(TIFF 789 kb) Additional file 4: Figure S2 Normalization curves of gene density from cummeRbund of each transgenic event versus wild type (A, C, E ) and each sample (B, D, F ). (TIFF 2282 kb).
Correspondingly, the data algorithms designed especially to this biosensing system including amplitude-limiting filtering algorithm, data normalization and curve plotting were programmed efficiently.
As experimental positive controls to assess the sensitivity and reproducibility of the array set up and for data normalization, a curve of human IgG(s) (solutions from 0.008 to 1 mg/ml) was spotted on the arrays in 8 replicates and detected with Cy3 conjugated α-human IgG secondary antibody.
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