Sentence examples for the data were explored using from inspiring English sources

Prior to combined analyses the combinability of the data were explored using incongruence length difference/partition homogeneity test (ILD/PHT) [67], [68] implanted in PAUP.

Normal distribution of the data was explored using the Kolmogorv-Smirnov statistic.

As a first (and often only) analysis step these data are explored using correlation networks.

Publically available microarray data were explored using the Oncomine database [21].

These data were explored using descriptive statistics functions in the SPSS.

Qualitative data were explored using NVivo9® software (QSR International Pty Ltd ,Melbourne, Victoria, Australia).

Relationships between behavioural data and conditioning data were explored using Pearson correlation.

Correlations between fMRI and MEG data were explored using Spearman's correlation, implemented in SPSS Statistics 20.

Differences between groups of data were explored using Student's paired or unpaired t-test (two-tailed) as appropriate.

Specifically, qPCR and FACS data were explored using two-dimensional hierarchical clustering of correlation matrices (i.e. gene-wise correlation of the respective patient groups [ 9]).

Focus group and interview data were explored using thematic analysis [ 34] and a constant comparative method [ 35], with a focus on possible mental models of HIV vaccines and clinical trials.