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The first seropositive blood sample (based on HI test) from each animal were used for identification of the optimal cut-off value.

In addition, we propose a post-classification posterior smoothing scheme which refines the posterior of a test sample based on the posteriors of other test samples.

This method is also widely used in both individual and population screening studies, and is now the CDC-recommended method of sampling for nucleic acid based testing [ 28].

Primary HPV testing also allows for self-sampling; a self-collected sample has been shown to have similar sensitivity (for underlying high grade cervical disease) to that of a practitioner-collected sample when a validated PCR based test is used [ 5].

Similar with the classification strategy in SRC and JSRC, we classify a testing sample based on how well the new low-rank matrix associated with each class reproduces the testing sample under J views.

The key idea is to partition the (GCtimes GC) biomarker topography of a test sample based on which peaks, target and non-target, match against that of a reference sample using their respective PTM representations.

We propose determining the sample based on the Fisher combination test for its simplicity, although other methods could also be feasible.

Genetic similarity decreased with increasing distance in both the agricultural and woodland landscape samples, based on Mantel tests and spatial autocorrelation analyses (Figure S3).

Similarly, we get 3510 positive samples and 12201 negative samples based on the test set (the ratio is about 1 : 3).

The second holding was omitted for some examinations in this study; otherwise, this additional holding time was set as 20 min for routine analysis of CSF and plasma samples and 10 min for urine samples based on the testing results described in this study.

In each run, the n- th smallest riskScore value (n is the number of training patients free of bone metastases) in the training samples was set as the cut-off to determine the class labels of the test samples, based on which, the performance (log rank test) can be obtained.

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