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In one of such experiments, thousands of genes are measured simultaneously, which provides a high-dimensional feature space for discriminating between different sample classes.
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In the proposed framework, distance metric is the key issue, which measures the distance between different sample points or different classes.
Correspondence of bands between different samples was performed with 1% dynamic range settings.
1. Metabolite Fingerprinting (also known as the chemometric approach) uses the spectral pattern as a whole to determine the spectral features that are statistically different between sample classes (e.g. cases versus controls; exposed (e.g. to dietary, environmental risk factors etc).
So, applying FA to microarray data also means that to select differentially expressed genes between different classes of samples, the classes do not have to be defined a-priori.
LDA uses the discrimination information between different classes, so the class information of samples should be known [15, 17].
Principal component scores reflect the differences between different classes.
Despite the paramount importance of microstructure to the field a rigorous systematic framework for the description of structural variance between samples of materials with the same processing history and between different materials classes has yet to be adopted.
Bivariate correlation (Pearson's r) was performed to explore the relationships between different fatty acid classes in samples.
This characteristic allows comparisons between RNA classes, thereby facilitating relationships between different RNA classes.
Dotted vertical lines mark the separation between different bursting classes.
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