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All data were investigated for outliers.
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The assumption of normal distribution of all data was investigated by the Shapiro-Wilk method.
Differences between groups (anthropometric and metabolic characteristics (age, body mass index (BMI), total cholesterol and total triglycerides), cholesterol absorption and synthesis ratios and all expression data) were investigated using the two-tailed Mann–Whitney U-test.
All MS/MS data were investigated using the Mascot search engine (Matrix Science Ltd., London, UK, http://www.matrixscience.com) against the Homo sapiens (human) subset of the Swiss-Prot and the RefSeq protein sequence databases.
All full MS data were investigated using an i-OPAL semiquantitative LC-MS data analysis system (i-OPAL algorithm: Patent no. WO 2004/090526 AI).
In the second strategy, the correlations between concentrations of myo-inositol, glycine, taurine, glycerophosphocholine, phosphocholine, choline and creatine and all transcripts in the filtered microarray data were investigated.
Relationships between flavour compounds and sensory evaluation data were investigated.
Distributions of data were investigated using histograms and one-sample Kolmogorov-Smirnov test against normal distribution (Kinnear and Gray, 2000).
Patient data were investigated using list mode acquisition to obtain comparable 2-, 3-, and 4-min frames.
Two real-time problem data were investigated for determining the applicability of the proposed method.
The photon energy and sample composition dependencies of obtained data were investigated.
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