Sentence examples for datasets were corrected for from inspiring English sources

All datasets were corrected for MR field inhomogeneity using SPM12 (http://www.fil.ion.ucl.ac.uk/spm) bias correction function with very light regularization.

All datasets were corrected for radioactive decay.

All datasets were corrected for temporal offsets and for head movement-related effects.

Preprocessing: Each 10-minute resting FMRI dataset was corrected for head motion using FLIRT FMRIBB's Linear Image Registration Tool [53]. Temporal drift was removed using a highpass filter of full width 200 s. The mean (over time) image was brain-extracted using BET [54].

For both Affymetrix and Illumina datasets, P-values were corrected for multiple testing using a 5% false discovery rate as the cut-off for significance.

For the high-dimensional lipidomics dataset, the P-values were corrected for multiple comparisons by calculating the False Discovery Rate (FDR) q-values [28].

Within each dataset, the p-values were corrected for multiple testing using the Benjamini and Hochberg method [ 34].

Normalization was performed within each dataset, and normalized expression values (log2 signal intensities) were corrected for batch effects across datasets using the COMBAT empirical Bayes method [ 54].

The 3B datasets consisted of 200 frames and were corrected for drift.

Next, values of S and D were corrected for covariates (log(BMI), age, sex, and smoking status) within each dataset using ordinary least squares regression.

Values were corrected for recovery.