Sentence examples for methods for description from inspiring English sources

However, they do not work on the level of software architecture (simulation or representation), despite the fact that they consider distributed interactive simulation (DIS) and high-level architecture (HLA) as potential architectural and interoperability methods for description and federated simulations of SoS [71].

These included comparisons of normalized spike rates at the preferred stimulus orientation for both eyes (Fig. 4A; see MATERIALS AND METHODS for description of normalization procedures) and assessments of orientation selectivity (OSI45, Fig. 4B and OSI90, data not shown) using previously published methods [7], [18], [19].

To categorize the general expression level of the different genes, RNAs were assigned to one of the following groups: undetectable (see Methods for description), low (cycle number >31.0), moderate (cycle number between 31.0 to 28.0), and high (cycle number less than 28.0) expression.

While the localization of SARs within genes was only slightly enriched when compared to random (11% enrichment, P = 0.0009), the association between scaffold attachment and expressed genes was 42% higher than expected (P<0.0001) (Fig. 3B, see Materials and Methods for description of the random model).

See methods for description of mass correction.

See Methods for description of these variables.

Similar to cell-free reconstitution experiments using fresh cytosols from multiple cells including MDA-MB231, LNCaP, PPC-1, PC3, Du145, NHP, K562, HCT116, and C2F3 (see Materials and Methods for descriptions of cells) also revealed CC-initiated caspase activation without requiring exogenous nucleotides (data not shown) [16].

(146) The methods for descriptions of both process types have been developed separately.

For example, we observed many overlapping regions from the GABP ChIP-seq dataset (see Methods for descriptions of the dataset).

The use of multivariate methods, used for description rather than for modelling, is suggested to be the best procedure for understanding patterns underlying heterogeneity without a priori assumptions.

See supplementary Methods online for description.