Exact(3)
Normalization was carried out in two steps: first a print-tip loess within-array normalization to remove dye biases, then a between-array scale normalization to remove array biases [75].
Unscrew chamber and remove array.
Expression data was filtered to identify genes expressed on the BeadChip at >0.99 confidence (16,585 genes), and normalized per chip using non-linear Normalize.quantiles or VSN normalization to remove array to array variability (Bioconductor Project [ 43]).
Similar(57)
RMA was used to remove the array signal background, followed by quantile normalisation to correct for inter-arrays global differences and by gene level summarisation.
Robust Multichip Analysis (RMA) methodology [ 48] was used to remove the array signal background, followed by quantile normalisation to correct for inter-arrays global differences and by miRNA level summarisation.
At the end of hybridization time carefully remove the array from water bath.
RMA method (40, 41) in Affy package from Bioconductor was used in R to summarize the probe level data and normalize the dataset to remove across array variation.
Results: We propose TileProbe, a new technique that builds upon the MAT algorithm by incorporating publicly available data sets to remove tiling array probe effects.
LIMMA package in R software was used to normalize the intensities data and to remove within-array (method: global lowess) and between-array (method: quantile) non-biological variation [ 105].
For both models, we fit the regularization parameters through cross-validation and compared the mean squared error on a common held-out set of 16 arrays selected by removing one array from each node with replicates.
We sought to systematically remove these arrays from the gene-gene correlation calculations.
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