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In general, negative samples could be quite different from each other and the variance of them can be very large, while positive samples may show somewhat common properties.
Blood samples may show leukocytosis (29%) or leukopenia (6%).
Similar analysis performed using two more closely related samples may show larger relative variation by protocol.
If assay methodology differs among laboratories, even the same samples may show different measurements (Binkley et al, 2004).
Genomic wave refers to the patterns of signal intensities across all chromosomes, where different samples may show highly variable magnitude of waviness.
This suggests that DNA methylomes of sporadic clinical samples may show a large diversity in epigenetic reprogramming during the development of drug resistance.
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This means that, under the additive model, the sample may show little or no deviation from HWE.
The sample may show tubular structures indicative of endometrial tissue and stromal cells indicative of endometriosis [ 1, 8, 9].
Since the mechanism of antioxidative action measured and/or reaction conditions used are different from one assay to another, a test sample may show different results for antioxidative capacity depending on the assay system used.
Across different samples, miRNAs may show the larger expression divergence.
This was supplemented by the Bollen-Stine bootstrap procedure [ 34] to test the overall bias due to the use of maximum likelihood in this study with samples that may show skewed distributions.
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