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Exact(3)
AUC quantifies the overall ability of the test to discriminate between positive samples and negative samples.
Totally, we get 15385 positive samples and 31663 negative samples based on the training set (the ratio between positive samples and negative samples is about 1 : 2).
Linear dose response curves were noted for cell lysate, RNA, and cDNA dilutions, and the difference between positive samples and NHS was clear even at 1 4096 dilution, which corresponded to a cell extract from 2.4 × 103 K562 cells.
Similar(57)
As there exists similarity between positive sample and negative sample, we define the similar coefficient as follows: {w}_j=frac{1}{c}{e}^{-Big|lleft({X}_{1j}right -lleft left({X}_{1j}right -lleft left4).
These unlabeled samples are assumed to settle in-between the positive samples and the negative ones, reinforcing the classifying boundary.
There is a severe imbalance between the positive samples and negative samples.
McNemar's test for the comparison of paired proportions was used to determine the significance of differences (P < 0.05) between PCV2 positive samples and presence of the other organisms.
Also, a high concordance was observed between positive samples for EBV in PBMC and in SF (Table 4).
When the FPR in the laboratory is kept constant, but the prevalence of positive MTB samples increases, the relation between positive sample prevalence and cross-contamination risk can be visualized as shown in figure 1 (dashed line).
Associations between numbers of positive samples and age group, sex, and ring-road were examined by the chi-square test for unequal odds and linear trend across groups (Epi-Info 6.04, Centers for Disease Control and Prevention, Atlanta, GA).
The Pearson's χ test or, in the case of low frequencies per cell, the Fisher's exact method was used to assess the relationship between rates of positive samples and patient characteristics.
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