Sentence examples for batch correction using the from inspiring English sources

In addition, to adjust for the baseline expression level of each of the individual patients in the different subgroups, a correction for the factor 'individual' was performed, as one would do for batch correction, using the batch remove option from the software.

The data then underwent batch correction using Partek Genomics Suite software (version 6.5) to correct for any batch effect created by the different NSRL campaigns.

Reads per kilobase per million method (RPKM) was used for normalization [ 86], followed by batch effects correction using the ANOVA model.

To correct the batch effect, we conducted Combat correction using the SVA package from R/Bioconductor [ 22].

Correlation between replicate UHRR samples improved by two orders of magnitude following batch-correction using ComBat (ranging from 0.9833-0.9991 0.9833-0.9991999) and increased toe consistency of the gene-lists from the duplicate clinical samples, from 11.6% in quantile normalised data to 66.4% in batch-corrected data.

All UHRR data were subjected to batch-correction using ComBat and correction at two levels was assessed: experiment-wise and run-wise correction.

However specific batch-correction using ComBat [ 17] once again significantly improved correlations and is a valuable tool for removing systematic error introduced between experiments and/or processing runs.

We verified the effectiveness of batch-effect correction using hierarchical clustering of the 149 different conditions.

Unnormalized summary data was exported from BeadStudio (Illumina, San Diego, CA) and imported into R/bioconductor using the BeadArray package, normalized using qspline [13] and batch corrected using a proprietary SVD correction.

Batch correction was performed using the ComBat function of the sva Bioconductor package [ 32] specifying diagnosis, sex, and age as covariates to avoid removal of biological differences.

Data preprocessing involved the following: an initial correction for batch assignment using the sum of the positive controls, subtraction of background signal defined by the mean expression of the negative controls, log-2 transformed, zero-centered, and quantile normalized.