Sentence examples for singular analysis from inspiring English sources

The emergence of isolated volumes of fluid surrounded by solid during the optimization process leads to a singular analysis problem.

Eventually, as the singular parameter (C m ) is increased sufficiently, new dynamics will be introduced, and the insights from the singular analysis are no longer valid.

The deviation of the perturbed threshold manifold compared with that of the singular analysis near the critical manifold lower fold is explained by a fold analysis within singular perturbation theory (compare Figs. 11 and 12).

Data analysis was performed in the Fluidigm Singular Analysis Toolset 3.0 in R. See Supplemental Experimental Procedures and Supplemental Theory for all details of model construction.

In patients after ACLR, the analysis of tibial rotation in the knee joint with simultaneous changes in rotation in large joints of the lower limbs during gait provides better opportunities than singular analysis of rotation in the knee joint for the assessment of disorders in gait kinematics.

The study also suggests that analyzing tibial rotation in the knee joint with simultaneous changes in rotation in large joints of the lower limbs provides better opportunities than singular analysis of rotation in the knee joint for the assessment of disorders in gait kinematics.

Fig. 12 Non-singular analysis of step inhibition.

A recent review categorized the 68 existing enrichment tools into three classes: singular enrichment analysis (SEA), gene set enrichment analysis (GSEA), and modular enrichment analysis (MEA) [4], as shown in Figure 1.

However, by decomposition techniques on the basis of singular perturbation analysis or batch phase analysis one is able to reduce the dimension of the augmented state vector.

Differentially expressed genes were classified by ontology using singular enrichment analysis (SEA) and parametric analysis of gene set enrichment (PAGE) at AgriGo (http://bioinfo.cau.edu.cn/agriGO/index.php) and classified to metabolic pathways using MapMan v. 3.6 ORC1 software [ 55].

Based on the algorithm applied, the enrichment tools can be classified into three classes: singular enrichment analysis (SEA or class I); gene set enrichment analysis (GSEA or class II); and modular enrichment analysis (MEA or class III).