Sentence examples for soundness of the data from inspiring English sources

To test the soundness of the data computed in FUNGIpath, we compared the predictions made for the model organism S. cerevisiae with the information published for the same ID-EC in four curated public databases: Swiss-Prot (release 56.7) [ 11], KEGG (version 2009-02-02) [ 12], MetaCyc (release 12.5) [ 13], and SGD (version 2009-02-10) [ 31].

While our results are affirmatively reproducing several previous in vitro and in vivo experiments, indicating the soundness of the data, they additionally suggest that dystrophin may be crucial for proper development of striated muscles as an organized contractile unit, implicating a novel pathophysiology for DMD.

Largely, it revealed challenges regarding accuracy, reliability and soundness of the IDSR data and may lead to low utilization of health system data for planning and decision-making [ 24].

The identification of numerous chamber specific transcripts, such as ANF for the atria and Irx4 for the ventricles among several others, support the soundness of the GeneChip data and demonstrates that the differences in gene expression profiles observed between the atrial and ventricular tissues were not spurious in nature.

Contradictory data undermines the soundness of the information from a noisy dataset.

Debate over the soundness of using data from animal bioassays conducted at minimally toxic doses or fractions thereof for predicting cancer risks to humans exposed to much lower doses has stimulated interest in the question of whether genotoxic or mitotic effects predominate in chemical carcinogenesis.

Further validation studies will determine the soundness of the smoothed disjunction between the data sets.

data integrity: means the wholeness, entirety and soundness of organisational data [17].

The soundness of the procedures subsequently used to examine the data is beside the point.

Reviewers are asked to comment on the overall novelty of the manuscript, its significance to the field, its medical / clinical relevance, the technical quality of the experimental data, and the soundness of the conclusions drawn.

The selection of indicators for monitoring should be driven primarily by the importance of what is being measured; the scientific soundness of the measure; and the feasibility of obtaining data on the measure.