Sentence examples for matrices reconstructed from from inspiring English sources

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.

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).

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).

A Minimum-Evolution tree was reconstructed from this matrix.

Similarly, trees reconstructed from 17 data matrices partitioned according to organismal identity that had more than 10 taxa and contained type II tRNAs, always placed type II tRNA molecules at their base (Figure S3, Table S1).

The basal placement of type II tRNAs and the absence of clear monophyletic groupings were also observed in trees reconstructed from partitioned data matrices (Figure S3) and from a preliminary study of 1,029 tRNA sequence and structures from part 1 of the bayreuth trna database (genomic tRNA compilation at DNA level) [Ospina, Sun and Caetano-Anollés, unpublished].

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.

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.

The e-matrix for this network can be reconstructed from the frequencies of inter-color edges, and be used to grow networks that not only have the same degree distribution as the original network, but mimic the connection pattern between functional types as well.