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The stationarity of the datasets was analyzed by using unit root tests.
Gene expression in all five datasets was analyzed on the RMA expression data.
Each of these datasets was analyzed by using the Bayesian skyride method (29 ) in BEAST.
Gene expression in all three datasets was analyzed on the normalized RMA expression data.
TAGLN expression in publicly available datasets was analyzed using Oncomine™ (Compendia Bioscience, USA).
Each of the PIEF and OGE datasets was analyzed at the protein level for iTRAQ ratios and at the peptide level for pIs.
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Two datasets are analyzed in this research.
All of the datasets were analyzed with qualitative content analysis.
Two real datasets are analyzed to illustrate the proposed method.
Datasets were analyzed with CANOCO software (ter Braak 1988).
These multivariate metabolomics datasets were analyzed with principal component analysis and partial least squares discriminant analysis.
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