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To improve current understanding of tidal meander migration and its possible stratigraphic implications, we analysed a sequence of aerial photographs and satellite images (from 1938 to present) of a meandering tidal channel in the Venice Lagoon, which experienced multiple cutoff events during its evolution.
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In order to decrease the information loss caused by single cutoff value and improve diagnosis efficiency (DE), we explore the integrative application of multiple tumor markers with multiple cutoff values systematically by developing an optimization algorithm named MVMTM.
As distance data are calculated for the largest cutoff, there is little additional time cost for performing clustering at multiple cutoff values below the maximum.
Multiple cutoff values of the regression scores were chosen corresponding to different sensitivity levels on the training dataset.
No: when multiple cutoff values were tested and the best one chosen afterwards.
Aerial photographs before and after the cutoff event (1938 and 1955, respectively) were used to infer a minimum velocity of migration (about 0.10 m/y).
We repeat this calculation for multiple cutoffs (0.25, 0.5, 0.75) to obtain the heatmaps in Figure 4.
Multiple cutoffs from 0 (i.e. no cutoff) to 0.9 (i.e. high-confidence cutoff) were tested (Fig. 2a).
To determine the effect of the RPKM cutoff on the cluster identification, we applied multiple cutoffs.
In summary, the employment of FDR and multiple cutoffs provides statistical rigor with additional flexibility.
Patients could experience multiple events at multiple points in time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com