Sentence examples for batch correction in which from inspiring English sources

In contrast to the hierarchical clustering dendrogram before batch correction, in which rheumatoid arthritis (RA) and osteoarthritis (OA) patients clustered randomly, batch correction led to a clear separation of the RA and OA groups.

In contrast to the hierarchical clustering dendrogram before batch correction, in which RA and OA patients clustered randomly, batch correction led to a clear separation of RA and OA.

The procedure of normalization and batch correction in this work is sequential, i.e., normalization is conducted first and batch correction is added subsequently.

Johnson et al. extended the EB methods to the problem of adjusting for batch effects in microarray data, which are not addressed by the use of one or several normalization procedures [ 5]. Johnson et al. published a location and scale (L/S) adjustment method for batch correction, which is available as R-package ComBat at the developer's homepage [ 20].

Tissue = Normal and Tumor tissue; Batch = Different batches in which the samples were sequenced.

We selected this method as it is the most flexible with the best performance among the commonly used batch correction methods in gene expression microarray [ 22].

Probesets were mapped to the human genome in the annotate and hgu133plus2.db software packages.> The COMBAT (empirical Bayes [ 33]) batch correction and cross-platform normalization method which is implemented in the inSilicoMerging package [ 34], was used to merge all normalized microarray datasets into one global merged dataset.

Batch correction has a significant impact on which genes are identified as differentially regulated.

The 125 arrays were adjusted by batch correction method included in Partek Genomics Suite 6.4.

Direct comparison of batch-corrected and non-batch-corrected data (see Additional file 9) indicates that this correction dramatically improved correlation of several genes in the CD14 dataset while the median gene correlation decreased slightly, possibly due to a reduction in covariance that would be predicted if batch correction reduced microarray variance in comparison to noise levels.

In addition, 5 of 7 GO categories identified before batch correction were also overrepresented in the data set after batch correction, indicating that no major information was lost upon batch correction (Table  3).