Sentence examples for datasets and the analysis from inspiring English sources

A critical component to the success of these emerging engineering strategies are computational tools for the evaluation of protein sequence datasets and the analysis of conformational variations of amino acids in proteins.

Additional file 2 contains a detailed study of the different datasets and the analysis used in our study.

Through the use of multiple representative datasets and the analysis of both linkage quality and individual transformations, these results seem robust.

In Section 2.1, we describe the method used to collect the training datasets, and the analysis of deposition sentences that we carried out in order to gain an understanding of the variety and common characteristics of these statements.

The data for the various categories of tree topologies for both the interacting and non-interacting datasets, and the analysis of their distributions by chi-square test is summarized in Table 2 (see also Additional file 1).

The quantification of the Fourier domain filtered dataset and the analysis of the spatial proximity of the different types of damage provided the mechanism of cracking in metal matrix composites near regions of tri-axial stress at high compressive strains.

For GSA we provide a repository containing the computational dataset and the analysis software at http://persistent-identifier.org/?identifier=urn:nbn:nl:ui:18-23590.

In the few cases where anomalous workers were inconsistent with being a daughter of the queen, these workers were removed from the dataset and the analysis was run again.

Additionally, the discriminant weight of the descriptors in PSSM-DT-based protein representation is calculated based on the benchmark dataset and the analysis results show that pair(R, R), pair(R, P), pair(P, R) and pair(A, R) are the top four most discriminative amino acid pairs.

In an additional sensitivity analysis, we removed women older than age 55 years from both the training and testing datasets, and repeated the analysis conducted with the combined dataset.

This procedure is repeated multiple times, so generating multiple imputed datasets, and then the analysis model is fitted to each of these in turn.