In practice, the ADMM penalty parameter ρ is either tuned empirically for each specific application, or set equal to 1 by normalizing the problem data set[21], Chapter 11.
In a clinical setting, PIs restore the abnormal bone remodeling by normalizing the levels of bone turnover markers.
The relative mRNA amounts were determined by normalizing each set of samples using the difference in threshold cycles (ΔCT) between interested genes and GAPDH as reference gene (ΔCTSamples = ΔCTinterested − ΔCTGAPDH).
However, by using VDTS to facilitate normalizing the data set with respect to absolute concentration, the PCA output is rendered sensible.
It includes a step to adjust for the different correlations in each gene set by normalizing each set score from randomized set scores.
By sequencing clones derived from RNA from different sources, and/or by normalizing cDNA libraries, the total set of genes sampled can be maximized.
Copy number values were generated by normalizing each sample's probe set intensity to that of a reference.
(3) β gcr = a 0 cr ∗ a g + a 1 cr the model is made identifiable by normalizing within each condition by setting β ¯ gc.
MAS5-processed data were normalized using GeneSpring by setting measurements <0.01 to 0.01 and by normalizing per chip to the median expression value on the array and per gene to the median expression value across arrays.
Note that in Algorithm 1, to solve the local variable update (22), we can normalize the problem data (i.e., sum power ( ∑ l ∈ L ( n ) ∥ m l ∥ 2 2 ) ) by normalizing factor β n > 0 and set ρ = 1, which is equivalent to set ρ = β n in Algorithm 1, if the problem data (i.e., sum power ( ∑ l ∈ L ( n ) ∥ m l ∥ 2 2 ) ) is not normalized.
