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The matrices were transposed to optimize the use of space.
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In addition, the transform matrix is transposed in advance to reduce memory read/write operations.
For the reconstructions of ToPs, data matrix was transposed to represent proteomes as taxa and FSFs as characters.
Subsequently, the data matrix was transposed and clustering of variables performed in "R" mode (See details in Legendre and Legendre [ 54]).
The tuning parameters include the matrix size for the low-level matrix multiplication, loop unrolling factors, crossover points for different matrix-multiplication implementations, the minimum size for matrices to be transposed, or blocking sizes for the last-level cache.
The V matrices have been transposed in order to obtain the eigenvectors (eigentranscripts or eigenproteins).
To be consistent with Figure 6, also the null matrix has been transposed.
For layout purposes, the matrix has been transposed, thus we have customers as columns and products as rows.
where W is a p-by-p matrix (noting that W ′ is transposed) whose columns are the eigenvectors of X′X determined by the algorithm and Y the matrix of the transformed data.
The matrix was also transposed to build trees of FSF architectures, with taxa and characters representing FSFs and proteomes, repectively.
The matrix was then transposed and clustered again: this generated classes of elements changing in a similar fashion in the different "mutants".
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