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Based on the expression distance matrices, we reconstructed the genome expression phylogeny by the neighbor-joining method.
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Based on these two reconstructed matrices, we can get an orthogonal subspace, which is orthogonal to the interference subspace and contains the desired signal subspace.
Given a set of position count matrices obtained from TRANSFAC 9.4 [32], we reconstructed STAT-related PWMs to compute the P-values of the match scores using a method for calculating the exact distribution of scores [65], [66].
As a first step in our analysis we reconstructed a correlation matrix for each of the five conditions representing bootstrapped Pearson correlation coefficients between pairs of metabolites.
We reconstructed the stoichiometric matrix of S. coelicolor, including the major antibiotic biosynthesis pathways, and performed flux balance analysis to predict flux changes that occur when the cell switches from biomass to antibiotic production.
Assuming the attacker knows the details of feature extraction (PCA matrix and mean vector), we reconstruct face images with the approximated feature vectors using (16).
Second, from the regularized PFM, we reconstruct a position weight matrix (PWM) whose element is the log-odds score between the PFM and background model, defined by a zero-order Markov chain.
In the proposed algorithm, two equivalent covariance matrices are reconstructed to achieve the decorrelation of the coherent signals and the estimated angle parameters are pair-matched automatically.
This advantage is suitable in non-linear study because the problem is solved iteratively and the non-linear stiffness matrices are reconstructed throughout each iteration.
170 sagittal slices with a slice thickness of 1 mm were acquired in 336×332 matrices and reconstructed to 800×800 matrices.
The matrices were reconstructed according to the scheme in Supplementary Fig. S1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com