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During diagnosis, markers can determine staging, grading, and selection of initial therapy.
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By identifying the concentrations of these markers, the bionanorobot can determine the type of cancer present.
Using both Theil's T and the Gini coefficient as our statistical markers of inequality, we can determine that incomes are highly unequal overall, with both high T and Gini values for all years (Figure 13).
Unlike 1D or 2D displacement measurement sensors, a motion capture system (MCS) can determine the movement of markers in any direction precisely.
Given the codominant inheritance of microsatellites, homology of individual markers can be determined, and the two maps developed from the different reciprocal mapping populations can be linked.
This implies that these markers can be determined reliably in the prechemotherapy biopsy as well as in the postchemotherapy surgical specimen.
Furthermore, because multiple relevant markers can be determined using a single assay, it is likely that gene expression profiling will be more cost-effective than currently used diagnostic and prognostic tests.
we can determine whether that set of markers is historically associated with our birth surname or a totally different one.
Therefore, unlike previous 1D or 2D displacement measurement sensors, the MCS can determine precisely the movement of markers in any direction.
We can determine this M* by permutation even when there are correlations between markers.
In this "pure" setting, investigators can determine the typical time course, intensity, and interindividual variance in candidate markers.
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