Sentence examples for matrix reconstructed from from inspiring English sources

To further validate the performance of our methodology in reconstruction of GO terms, we use the gene GO term relation matrix, reconstructed from matrix factors R ^ 12 = G 1 S 12 G 2 T. Its entries indicate the annotation strength of a gene, i, related to a GO term j, with R ^ 12 (i, j ) = 0 denoting absence of annotation, while R ^ 12 (i, j ) = 1 denoting the highest confidence of annotation.

Moreover, R23G07 contains at least one sequence, CCGGCCATTCG, that is a reasonable match (8/11 nucleotides) for a position sequence-specific matrix reconstructed from ChiP-chip analysis of Pho and dSfmbt binding (G[C/A][C/G]GCCAT[T/C]TT; Oktaba et al. 2008).

In second strategy, they are extracted using 3×3 covariance matrices reconstructed from the CP modes called Pseudo Quad (PQ) modes.

These comparisons with the original connectivity and random benchmarks were applied to all adjacency matrices reconstructed from individual and combined node features.

This CS paradigm rests on the assumption that there is a basis in which the signal is sparse, and one employs random measurements by means of projections on a sensing matrix reconstructing the signal from these measurements through l1-norm minimization on the sparsity basis.

A Minimum-Evolution tree was reconstructed from this matrix.

Distance matrices and phylogenetic trees were reconstructed from the exact evolutionary relationships between elements (no further stochasticity is introduced to mimic the accumulation of mutations).

When an appropriate number of principal components of each sub weight matrix are retained, there is almost no quality degradation of images reconstructed from dimensional reduced weight matrix but can significantly save calculation time.

CPV TH = 90% is used to determine the number of retained large principal components of each sub weight matrix W s. There are almost no visual differences in both three dimensional (3D) views and sections of the results reconstructed from the reduced weight matrix using PCA and the original weight matrix in the two experiments.

Phylogenomic trees of domain structures at FF level of structural abstraction were reconstructed from the data matrix of genomic abundances (multiple occurrences of FFs) using maximum parsimony (MP) with 1,000 replicates of random taxon addition, tree bisection reconnection branch swapping, and maxtrees unrestricted.

In the single fluorescent target case, it is hard to find visual differences in the results reconstructed from the original weight matrix and the dimension reduced weight matrices using different CPV TH.