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A number of feature extraction methods have been proposed for extracting features of tongue color [16, 17], coating, and texture [18 21], fissures [22 25], shape [26, 27], tooth marks [28], petechia spots [29], and the sublingual vein [30, 31].
Notably, in the Dowsett et al. [ 17] study, the ROR assay was performed on residual RNA extracted by Genomic Health in an earlier study (i.e., samples were microdissected and the RNA was extracted using Genomic Health proprietary methods), which may be relevant, since RNA extraction methods have been shown to impact gene expression analysis [ 24].
A number of novel feature extraction methods have been proposed in recent years [17 19].
Though kinds of feature extraction methods have their own advantages, no method extensively can be accepted.
Detailed descriptions of these extraction methods have been included in Part I of this study.
Several extraction methods have been tested with a wide variety of biological samples.
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A great variety of feature extraction methods has been proposed in the literature.
Optimizing the main experimental parameters for each technique, successful determination of several smoking-related compounds with these needle extraction methods has been demonstrated.
The two extraction methods had very similar extraction efficiencies, and gave essentially identical results (Figure 1A).
The focus of DNA extraction methods has moved to rapid performance of molecular techniques, avoiding extensive purification steps (7, 27).
For this reason two main extraction methods had to be used one for extraction from whole blood and the other from PBMCs.
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