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Figure 5 The sensitivity and specificity of IHC markers, as individual or in combination, in primary lung squamous cell carcinomas by the bootstrap resampling analysis.
Figure 4 The sensitivity and specificity of IHC markers, as individual or in combination, in metastatic lung adenocarcinomas by the bootstrap resampling analysis.
Figure 6 The sensitivity and specificity of IHC markers, as individual or in combination, in metastatic squamous cell carcinomas by the bootstrap resampling analysis.
Taken together, inclusion of TTF-1 and/or Napsin A in a panel shows an improved specificity in both primary and metastatic ADCs. Figure 3 The sensitivity and specificity of IHC markers, as individual or in combination, in primary lung adenocarcinomas by the bootstrap resampling analysis.
Internal validation of the algorithm was performed by the bootstrap resampling technique [ 26].
Confidence intervals (CI) of the identified QTL were estimated by the bootstrap resampling analysis with 2000 iterations [ 13].
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The 95% CI for each estimated fraction was obtained by using the bootstrap resampling method with 1,000 bootstrap resamples (19 ).
The 95% CI for each estimated proportion was obtained by using the bootstrap resampling method with 1,000 resamples.
AŨC calculated by means of the bootstrap resampling method was almost the same for training and testing data (percentage difference less than 1%).
In this novel formulism, we have addressed data variability in biological systems by integrating network identification with the bootstrap resampling technique, hence predicting robust interactions from limited experimental replicates subjected to noise.
Multiscale bootstrap resampling was used to calculate the AU p-value, which was less biased than the BP value calculated by the conventional bootstrap resampling method [ 48].
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