Following this scheme, many other approaches were proposed usually extending the "one-by-one" criterion to a "multi-sample" application [ 19– 21] and in some cases extending this approach also to the joint-normalization of data [ 22].
The authors also employed joint (RMA-) normalization to compare the translatome data with publicly available transcriptomics datasets.
However, the length dependence of muscle activation and purported, substantial, muscle translocation and changes in muscle architecture during dynamic movements presents a need for joint angle-dependent normalization processes.
Normalization of joint moments to reduce anthropometric influences prior to making group comparisons is a widely-accepted practice.
While the optimal entropy-minimizing or accuracy-driven quantization methods are intractable, several simple schemes including scalar quantization with separate codebooks per parameter and joint scalar quantization with normalization perform well in their attempt to approximate the optimal clustering.
Fig. S2: histogram displaying the effects of joint and individual RMA normalization of the raw data (CEL files) from transcriptome and translatome.
Overall, HA levels also decreased from baseline, with relatively higher values in samples with better histological scores, potentially a sign of normalization of joint homeostasis.
We speculate that the capacity of HA to prevent cartilage erosion results from its normalization of joint biomechanics and its inhibitory effects on periarticular cells, which are involved in tissue hyperplasia and fibrosis.
In this pain model, a single injection of 50 μl of NASHA and higher into the knee joint led to a normalization of pain-related behavior close to baseline levels during an observation period of seven weeks.
In this equation, η is the normalization factors: The joint probability distribution is called as the belief state.
The normalization of the joint distribution function of all the data is 1 = ∫ - ∞ + ∞ ∏ i = 1 N C p σ x i e - η p x i - μ x i σ x i p d x 1 … d x N, (11).
