Sentence examples for data transformation procedures from inspiring English sources

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Section 'Methods' presents the data used in this study, together with data transformation procedures and statistical methods employed.

It is also possible that the candidates proposed by RefGenes are biased by the inherent nature of microarray data as compared to RT-qPCR data, or by data transformation procedures during normalization.

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A non-linear data transformation procedure subsequently converts the calculated environmental flow duration curve into a continuous time series of environmental flows.

PCA is an unsupervised data transformation procedure of complex data sets.

Our generic data transformation procedure is streamlined for unbiased, explorative research.

Our generic data transformation procedure is built on a decomposition model for the double-mutant fitness matrix.

It was also hypothesized that in the custom-scored datasets, such as E-MAP, this kind of data pre-processing would provide only a marginal, if any, contribution to the overall performance of the data transformation procedure.

Three large-scale quantitative genetic interaction datasets on budding yeast (Saccharomyces cerevisiae), as available from different screening technologies, were used to demonstrate the performance of our computational data transformation procedure.

The advantages of the data transformation procedure are further confirmed using two published large-scale quantitative interaction datasets; one obtained with the GIM screening approach and the other with the E-MAP approach (Table 1).

The computational data transformation procedure could again improve the detection of the various interaction classes in the GIM dataset, compared to its original double-mutant fitness measurements (Table 3).

The relative performance of the matrix decomposition-based data transformation procedure in distinguishing the four genetic interaction classes is demonstrated first using the unique data from the near whole-genome SGA screening effort, which is by far the largest quantitative genetic interaction dataset to date.

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