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Dimension scores are adjusted with a data transformation algorithm to index values.
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Both, data transformation and rendering algorithm, are closely intervened by taking compression errors into account during rendering.
Data transformation is necessary for learning algorithms, since it prevents the algorithm from accentuating the variables with bigger data.
In summary, various strategies of data selection, data transformation, and use of various algorithms clearly underscoring that exploratory cluster analyses in airway have been used, diseases cannot be considered as really "unsupervised and unbiased".
The data were then transformed using the variance stabilization transformation algorithm (VST) and normalized using the quantile normalization method.
SVL performed data transformation, wrote part of the SVM algorithm, and contributed to the drafting of the manuscript.
Data were normalized with the variance stabilization transformation algorithm (Bioconductor vsn package) and genes with significant change (P < 0.05, log-fold-change > 0.5) were recorded.
For both mRNA and miRNA data, we first transformed raw data generated from BeadStudio (Illumina, San Diego, CA) using a variance stabilization transformation algorithm [35] and then normalized them using quantile normalization implemented in Bioconductor (www.bioconductor.org).
Therefore, the performance of the predictive algorithm was not affected by this data transformation step.
In the first part, a transformation algorithm is applied to 3D human motion data captured by a Kinect.
PCA and clustering analysis were performed on selected differentially expressed gene lists after data transformation and mean centering to cluster genes by averagely linkage algorithm.
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CEO of Professional Science Editing for Scientists @ prosciediting.com