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Datasets were analyzed with CANOCO software (ter Braak 1988).
All of the datasets were analyzed with qualitative content analysis.
These multivariate metabolomics datasets were analyzed with principal component analysis and partial least squares discriminant analysis.
The forty datasets were analyzed using our image extraction algorithm as outlined in Section 2.1.
The datasets were analyzed during the current study available from the corresponding author on reasonable request.
Three datasets were analyzed with regard to hospital readmission reductions, HIE portal query usage, and encounter-notification service alerts.
BC samples and controls, both experimental and publicly available datasets, were analyzed by whole genome microarrays.
The datasets were analyzed using "FlexArray" software developed by M. Blazejczyk and associates (Genome Quebec, Montreal).
Maximum likelihood trees were calculated (Figures 2 and 3) and datasets were analyzed for compartmentalization.
All datasets were analyzed using Neighbour joining (NJ) and Bayesian inference (BI).
Some subsequent follow-up analyses included datasets released since 2007 but not all currently available datasets were analyzed.
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