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Data were explored for normality by checking data distribution and histograms, calculating mean and median values, and finally using Kolmogorov-Smirnov and Shapiro-Wilk tests of normality.
Numerical data were explored for normality by checking the data distribution, calculating the mean and median values, evaluating histograms and normality curves, and using Kolmogorov Smirnov and Shapiro Wilk tests.
The data were explored for negative cases.
Data were explored for outliers, skewness, and normality.
Before conducting the analyses, data were explored for violations of assumptions.
The data were explored for fit with the assumptions required for a multivariate analysis.
Similar(48)
The use of silver standard corpora as training data was explored for the implementation of chunkers of biomedical text [50] and NER systems [51].
The data was explored for negative cases [ 20, 21].
However, the impact of missing data was explored for the four families (2.6 %) with partial data (7-month data available but not 13-month), using the last value carried forward.
For validation of miRNA expression, qPCR data was explored for 12 miRNAs that were chosen based on varying degrees of differential expression between the four cell lines as observed in a separate miRNA array experiment.
Microarray expression data sets were explored for the predicted AtLRR-RLK genes using the Arabidopsis Affymetrix GeneChip® average data available on the GENEVESTIGATOR analysis tool site (http://www.genevestigator.ethz.ch) [ 20].
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