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A: Gene list generated with no background correction and weight based filtering.
B: Gene list generated with dampened Edwards background correction and weight based filtering.
Only 2 of the 588 genes identified with dampened Edwards background correction and weight based filtering were not detected when no background correction was performed.
When HCSSM was further used to evaluate steps in the computational analysis of microarray data we found that no background correction and weight based filtering estimated 2064 differentially expressed genes (gene list A in Figure 5) compared to 588 when the data was analysed by dampened Edwards background correction and weight based filtering (gene list B in Figure 5).
In our experiments a dose of 250 ng LNA (locked nucleic acid) dT blocker, no background correction and weight based filtering gave the largest number of differentially expressed genes.
When HCSSM was used to evaluate steps in the computational analysis of microarray data we found that no background correction and weight based filtering gave the largest estimated numbers of differentially expressed genes.
Similar(54)
All arrays were background corrected using local background correction and normalized using Lowess normalization [ 87].
We used RMA and Bioconductor in R [70] for background correction and normalization [71], [72].
SNP 6.0 CEL files were imported into Partek using default settings for background correction and summarisation.
Generally, background correction and normalization are used to reduce the impact of variations in experimental conditions.
VSN is a protocol that combines the background correction and across array normalization [40].
More suggestions(9)
background correction and summarization
background correction and normalisation
background correction and print-tip
background correction and variance
background correction and deconvolution
background correction and calculation
background correction and expression
background correction and saturation
background correction and summarisation
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