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Compared with the algorithms used in Microarray Suites (MAS 5.0), this approach adjusts background on the raw intensity value scale, then uses quartile normalization to remove systemic variations, and summarizes log2 of the normalized background adjusted PM values to estimate expression level measurements based on a linear additive model [ 39].
The acoustic phonon broadening efficiency α increased with the normalized background intensity [12].
No area normalized background subtraction using a second ROI outside of the thyroid ROI was performed for our analysis.
where parameter denotes the normalized background noise power for user at tone, and parameter is the normalized crosstalk ratio from user to user at tone.
Microarray data were normalized, background corrected and summarized using the robust multi-array average (RMA2) method [35].
The new set of normalized background frequencies (with the most abundant PTMs included) may then be fed into RAId_aPS to compute the corresponding APP score histogram.
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Finally, the normalized, background-corrected data were transformed to the log2 scale.
Final relative intensity values obtained were computed as means from the normalized background-corrected triplicate values for each sample.
Expression data were normalized, background-corrected, and summarized using the RMA algorithm, http://www.partek.com/.com/
Expression data were normalized, background-corrected, and summarized using the Robust Multi-Array Average (RMA) algorithm implemented in the R 'affy' package [ 19].
Briefly, normal tissues were assayed in triplicate, and were analyzed with the Affymetrix Power Tools software (http://www.affymetrix.com/partners_programs/programs/developer/tools/powertools.affx) to produce normalized, background-corrected probeset intensities.
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