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Figure 14 indicates the wall clock times of ESUCR-DTW for every case of ({ alpha, beta )}) with the two incremental data normalizations.
With regard to both incremental data normalizations, the number of cases of ({|c| = |q|}) is relatively low; especially for incremental z-score normalization, the value is from four to five cases.
Open image in new window Fig. 13 Evaluate best-so-far subsequences with their patterns in terms of length in 100 cases Open image in new window Fig. 14 The wall clock times of ESUCR-DTW for each case of ({ alpha, beta )}) with the two incremental data normalizations.
Data normalizations were performed using global normalization and Lowess normalization methods.
After the previously applied data normalizations, PCA was performed for both Hyp and Tel datasets.
SF and LB carried out the sample preparation, hybridizations and microarray data normalizations.
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(3) Data set feature normalization Data standardization (normalization) processing is a basic work of data mining.
Quackenbush, J. Microarray data normalization and transformation.
Different techniques for data normalization and analysis were tested.
Ubiquitin80 and actin81 genes were used as references for data normalization.
We used the GLM method in edgeR for data normalization and differential expression analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com