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We utilized a test set of 23 patients with (n = 8) biopsy-confirmed class III or IV proliferative nephritis, or with either biopsy-confirmed class II nephritis or without significant renal involvement (n = 15), to test accuracy of the prediction model.
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With the above considerations, we utilize both a test set and a control set of DNA sequences to search the possible motif instances.
When utilizing the algorithm, working dataset is split into two subsets: a calibration set, which is used to establish the calibration model, and a test set, which is employed to assess the predictive ability of the established calibration model.
Then, one group was utilized as test set and the rest as the training set.
Surprisingly, few studies have utilized a comprehensive set of neck movement and motor control tests to contrast patients and healthy subjects.
We utilized a gene set identified by Camp and colleagues [ 5] to directly test whether the cocultures upregulated basal-like microenvironment characteristics.
To fully understand the strengths and weaknesses of any study that utilizes test set methodology, the development of the test set must be fully described and reported.
The set they went on to perform utilized a powerful new set-up.
However, the introduction of assays based upon various nucleic acid testing (NAT) technologies, each utilizing a different set of standards, creates the potential for misinterpretation of patient results.
The test was performed utilizing a special test cell that allows the control of many parameters (temperature, humidity, illumination, etc). in order to obtain a set of realistic test conditions carefully defining both the indoor and outdoor environments.
To assess the performance of the scheme we utilize a set of non-trivial velocity test functions which are designed to mimic realistic flow fields.
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CEO of Professional Science Editing for Scientists @ prosciediting.com