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Raw feature intensities were background corrected using the RMA background correction algorithm [ 21, 22].
Expression values were background corrected using the GCRMA algorithm (Robust Multi-array analysis with correction for GC content) [19], [20].
The raw data in the.gpr files was normalized using statistical algorithms specifically designed for two color arrays implemented in Bioconductor packages of R. The raw signal intensity data was background corrected using the moving minimum algorithm.
The signal was background corrected using the normexp method [ 62].
The data were background corrected using the Spot morphological close/open method.
The microarrays were first background corrected using the normexp method implemented in the backgroundCorrect function.
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All arrays were background corrected using local background correction and normalized using Lowess normalization [ 87].
The intensities were background corrected using gcrma [ 36] and normalized at the probe level by VSN [ 37].
The quantified signals were background corrected using normexp with offset value 10 based on a convolution model [37] and normalized using the global Lowess regression algorithm.
Spectra were background corrected using a reflective gold slide and converted to absorbance using the Kramers Kronig equation as per standard FTIR analysis method (Roessler 1965).
All the XPS spectra have been background corrected using Shirley algorithm, and their respective binding energy (BEs) have been aligned to the C 1s BE of 285 eV [19] [20].
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