Sentence examples for data of each method from inspiring English sources

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To evaluate the distribution of the raw data of each method individually, the raw CNs of all samples from qPCR (with the calibrator included in each run), the raw CNs of a typical 96-well plate from PRT4 and the relative locus dose of a typical batch from MLPA were plotted in an ascending order.

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To assess the dynamic range characteristics of the three methods, the range of the data for each method was taken as an interval extending 2 standard deviations on either side of the mean across the entire array.

To reveal the extent of variance in the data for each method, Figure 4 also shows thin lines drawn at half of the standard error above and below the corresponding average curve.

Like in the sequence similarity method, the data presented are inferences based upon the data, and the limitations of each method should be kept in mind. 1 Genes consistent with the 16S-23S and ribosomal proteins phylogeny.

To determine the rates of data errors using each method, we defined three types of errors a priori: missing, nonsense and transcription.

The European Headache Federation herewith provides a consensus statement on the clinical use of neuromodulation in headache, based on theoretical background, clinical data, and side effect of each method.

Finally, we were also interested in the broad scale effect of the type of data on the performance of each method.

Varying levels of coverage directly impact the amount of data available to each method.

Then, data from the three replicates of each method were merged in order to explore the overlap among the whole DT, FASP and ISD proteomes.

Visual inspection of Figure 2 provides a preliminary indication about the quality of each method for data set MDDR1, The area under curve (AUC) metric was calculated for the data MDDR1 and their results added at the end of Figure 2. Figure 2 ROC curves and AUCs at 5% cutoff of MDDR1 data set.

A comprehensive presentation of all the methods available for analyzing production data, highlighting the strengths and limitations of each method has been finished (Mattar and Anderson 2003).

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