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Results demonstrated β-actin and GAPDH were the most suitable reference genes in blood and could be used either individually or combined as an index to normalise data.
An intensity-dependent (LOWESS) step was used to normalise data.
β-actin messenger RNA levels were used to normalise data.
Expression of porphobilinogen deaminase was analysed as described earlier (Koizume et al, 2006) to normalise data.
β-actin signal was used to normalise data for the above mRNA.
This uses a set of non-differentially expressed genes to normalise data that are identified by using an iterative procedure.
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were used to filter the RMA normalised data.
Fold change in ABC transporter expression was determined using the comparative ct method, normalising data to peptidylprolyl isomerase A (PPIA; Lastowska et al, 2007).
The obtained I/NI filtering list was then applied to the gcRMA normalised data to remove all non-informative probes.
Cluster analysis of the RMA normalised data was used to group genes with similar patterns of expression, as described in Eisen et al 1998 [ 23].
To identify the best-performing candidate genes, we normalised data using average total-patient Ct values and using an average global total.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com