Sentence examples for datasets were evaluated by from inspiring English sources
The DSCT datasets were evaluated by two independent investigators blinded to serum adiponectin levels using a dedicated cardiac workstation (Siemens, Leonardo Circulation).
Unpublished datasets were evaluated by an internal peer-review process before inclusion.
Briefly, DSCT datasets were evaluated by two independent investigators using a dedicated cardiac workstation (Siemens, Leonardo Circulation).
The interaction datasets were evaluated by co-expression frequency of interacting genes and similarity between gene ontology terms BP (Biological Process) and CC (Cellular component).
To obtain the expression signatures, we performed a differential analysis for each origin cell: differences between the two arbitrary datasets were evaluated by the Student's t-test for the expression of each gene.
Datasets were evaluated by 2-tailed unpaired t test, Mann–Whitney U test, Steel's test, or one-way analysis of variance (ANOVA) with post hoc tests (Dunnett's or Bonferroni's test) for statistical significance using Prism 5 (GraphPad Software, San Diego, CA, USA) and MEPHAS (http://www.gen-info.osaka-u.ac.jp).
Additionally, the agreement among the datasets was evaluated by grouping the Tanimoto coefficients into 10 similarity intervals from 0 to 1 using increments of 0.1.
The congruency of the satDNA dataset and the previously published mtDNA dataset were evaluated by a partition homogeneity test/ILD and Partitioned Bremer Support (PBS) values.
Differences in survival between the two groups of each dataset were evaluated by the log-rank test, and the Kaplan-Meier survival curves were generated for visualization.
The main sources of variation in the 2D-DIGE experiment dataset were evaluated by unsupervised multivariate PCA, using Euclidean distance for quantitative analysis.
