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Normalization estimate from https://www.federalreserve.gov/econres/notes/feds-notes/projected-evolution-of-the-soma-portfolio-and-the-10-year-treasury-term-premium-effect-20170922.htm.

These programs perform non-FPKM normalization of read counts (for example, using LOWESS regression, or quantile normalization), estimate read count fold changes between conditions at the gene or the transcript level, and assess the statistical significance of observed read count differences.

EdgeR performs model-based scale normalization, estimates dispersions and applies negative binomial model.

The structural and functional images were normalized using the normalization parameters estimated with the unified segmentation procedure to the stereotactic coordinate system defined by the MNI.

This study utilizes concentrations of the long-lived nuclide 232Th as a proxy for detrital riverine input and 230Th normalization to estimate the history of preserved fluxes reaching the seafloor in the Flores Sea, located between southern Sulawesi and the Lesser Sunda Islands, Indonesia.

After normalization, we estimate the linear transformation factor ai using least square without intercept.

The Bioconductor package edgeR [ 17, 137– 139] was used for single factor, pairwise comparisons to calculate normalization factors, estimate tagwise dispersion and determine differential expression (DE).

Normalization methods estimate the read abundance, regardless of a reference, using the k-mer median abundance of that read and then decides whether to reject or accept it based on the chosen coverage value [ 19, 20].

Each participant's scans were normalized using the linear and nonlinear normalization parameters estimated from warping each participant's structural image directly to the Montreal Neurological Institute ICBM avg152 T1-weighted template, using 2-mm isotropic voxels and smoothed with a Gaussian kernel of 8-mm full-width at half-maximum.

Each participant's scans were normalized using the linear and nonlinear normalization parameters estimated from warping the participant's structural image to the Montreal Neurological Institute (MNI ICBM avg152 T1-weighted template, using 2-mm isotropic voxels and smoothed with a Gaussian kernel of 8 mm full-width half-maximum.

Using SPM5, the PVE-corrected PET data were then coregistered (rigid-body coregistration) to their respective native MRIs and normalized to MNI space by reapplying the normalization parameters estimated from the VBM protocol described above.