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In the comparison experiment, the decomposition coefficients of each polarimetric matrix are processed with SPM and a linear SVM classifier is also used to generate the classification result.
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The alignment of paired-end sequence reads to mouse genome (mm10) and the generation of digital expression matrix were processed using Drop-seq tools (http://mccarrolllab.com/download/922/, version 1.12 13,17.
In this method data in matrix is processed and is represented in form of line and spider graph respectively.
The resultant DWT matrix is processed by the SVD transform to embed the watermark bits, as will be explained in the next subsection.
The resulting matrix was processed by PHYLIP version 3.67-a neighbor with neighbor-joining and no outgroup or randomization on a single dataset (18).
The resulting matrix was processed using customized PERL and UNIX scripts to generate a 6-digit binary accession for each Pfam domain.
To compute the pair-wise similarity matrix for N samples, we spawned N * N threads in the GPU such that each similarity value in the matrix was processed by an independent thread.
The resulting matrix was processed for dendrogram construction using the UPGMA (unweighted pair group method average) clustering method and PCO (principle co- ordinate analysis) options of software MVSP (Multi-Variate Statistical Package ver 3.13: [ 50]) program.
The resulting [96 × 731] data matrix was processed by the following multivariate methods: Partial Least Squares Discriminant Analysis (PLS-DA) was carried out to compress the raw data to a smaller number of variables, and to look for evidence of grouping according to disease state ("Y" variable is the class membership).
We explain the feature extraction only from the matrix D Y as the other two matrices are processed similarly.
The OnPLS approach does not depend on the order in which the matrices are processed when one have more than two blocks of data, and thus the model is symmetrical giving no preference to any matrix [ 9, 10].
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