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A high-resolution T1-weighted magnetization-prepared rapid-acquisition gradient echo (MPRAGE) image was collected for normalization (via segmentation) and anatomical localization of activations.
Datasets were variance stabilized and normalized using robust spline normalization via the lumi package [ 28, 29].
Datasets were variance-stabilized and normalized using robust spline normalization via the Lumi software package (17, 18).
Suitability of the liver as surrogate of arterial tracer supply for SUV normalization via TLR computation is limited.
Suitability of the liver as a surrogate of arterial tracer supply for SUV normalization via TLR computation is limited due to the less-than-perfect correlation between blood and liver SUV, and the SUR approach remains attractive for principal as well as practical reasons.
Creating surrogates for normalization via plain randomization yields Erdös-Rényi random networks, which have a Poisson degree distribution.
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The proportionality constants γ determined from the regressions can also be calculated from normalizations via γ(cal) = E/Σ i < j (k i k j ), where E is the total number of interactions in the network and the summation is over all pairs of proteins.
These corrected probe values were normalized via quantile normalization and a median polish method was applied to compute one expression measure from all probe values.
The expression levels of all 29 genes were then normalized via the normalization factor, and relative expression values were calculated using the following equation: 1/(1 + Primer Efficiency)^CT.
The processed probe values were then normalized via quantile normalization, and a median polish was applied to compute one expression measure from all probe values.
These corrected probe values were then normalized via quantile normalization, and a median polish was applied to compute one expression measure from all probe values.
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