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A graphic approach termed a Genetic Activity Profile (GAP) has been developed to display a matrix of data on the genetic and related effects of selected chemical agents.
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This is done by performing a singular value decomposition (SVD) on the matrix of data, with each column representing a variable and each row representing a multivariate sample.
Figures 1 and 2 depict the heatmap of the genomic (G) matrix for data on 306 and 599 wheat lines, respectively.
Input matrix was covariance matrix of data.
with R s = σ S 2 I K and R N = σ N 2 I M, being the correlation matrices of data symbols and noise on each carrier.
Since it was necessary to operate on great matrices of data (1000 of X-ray spectra × 15 kinds of ammunition × 2000 points per spectrum), data reduction was performed by means of fast Fourier transform (512 coefficients).
The distribution of the eigenvalues of the sample covariance matrix (SCM) of data has important impact on the performance of signal processing algorithms.
A discriminant model is developed by regression of the independent matrix (spectral data) on the assigned dummy variable.
The binding matrix contained data on 14 drugs that act through at least one of the 13 pharmacological targets.
The genomic relatedness of bacterial strains was estimated from pairwise comparisons of PFGE SmaI-macrorestriction patterns, and a matrix of binary data was constructed based on the presence/absence of each band.
The resulting matrix of genotypic data comprised 7829 SNPs on 2661 individuals.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com