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Data analysis methods to assess periodic components in time series data are outlined in detail.
Facing the rising request for a selective deleting functionality, common problems, limitations and requirements for a tool selectively deleting non-relevant data are outlined in this paper.
Microbiological data are outlined in Table 1.
Demographic and clinical data are outlined in Figure 1.
These data are outlined in Table 1.
These data are outlined in Fig. 1.
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The statistical summary of data is outlined in Table 1.
A suggested interpretation of the observed data is outlined in Figure 1B (modified from Oleksyk et al. [ 3]).
The source data is outlined in Figure 4 figure supplement 1. (B ) A proliferation assay for VCaP prostate cancer cells overexpressing either wild-type AR (left) or AR F876L (right) shows that -DR103 effectively inhibits the growth of both models, while enzalutamide and the close structural analogue DR101 only inhibit the growth of VCaP/AR WT.
The data are outlined and summarized in section 4. Section 5 reports the results of regression modeling and a range of feasible robustness checks, while section 6 sums up.
Minimum data elements are outlined in Table 2. Data collected should be adequate for routine public health surveillance and description of key epidemiologic features of disease.
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