Sentence examples for methods were subject from inspiring English sources

The assemblages obtained by these methods were subject to statistical analysis of technological attributes combined with the identification of typological specimens and techniques of manufacture known to have chronological significance in order to identify the parts of the Paleolithic sequence present.

All sequences identified using these methods were subject to phylogenetic analysis as described below.

However, as the tested methods were subject to the same setting, the results are still good indicators of the relative performance of the approaches.

The authors acknowledged that, their sample size was very small, with only five patients, and sampling and collection methods were subject to bias, limiting the interpretation of the themes identified.

Using computer simulations, Antao et al. (2010) evaluated the ability of NeD and NeV estimators to (i) detect a population decline, (ii) correctly identify a bottleneck with low bias and high precision, and (iii) evaluate whether the methods were subject to a high rate of false positives (i.e., indicate a bottleneck when none had occurred).

Quantitative and categorical data derived from the multiple sorting methods were subjected to multidimensional scaling analysis.

The extracts with higher yield from both methods were subjected to transesterification and GC MS analysis.

The sequences not amplifiable by the above PCR methods were subjected to PCR with primers deduced from adjacent 5′ and 3′ sequences.

Hence, clusters of DNRs detected using spatiotemporal methods were subjected to a further epidemiological investigation in order to determine if any clusters represented a real outbreak.

The raw data obtained from 454 sequencing of the target enriched DNA (see Methods) were subjected to an analysis and filter process depicted in Figure 1.

Four probe sets, representing genes putatively involved in the fatty acid metabolism (listed in Methods) were subjected to real-time qRT-PCR analysis to validate the microarray data.