Sentence examples for matrix we selected from inspiring English sources

From this matrix we selected the largest connected component to obtain a fully interconnected visualization.

Using this optimal weighting matrix, we selected 47 genes whose scores were greater than 2 for follow up bioinformatics analysis.

Finally the LE and TE functions are normalized by the overall standard deviation of the X matrix: We selected top 40 genes for each monotonicity function (LE' and TE') with their absolute scores.

The experimental results presented here were obtained in the following experimental setup: a search for frameshifted forward alignments was launched on samples from the full NCBI protein databases for several species, using a 00.50 base per codon divergence scoring matrix; we selected only the alignments with an E-value < 10-9, presenting at least one significant frameshift.

From this matrix we selected the expression profiles corresponding to the main behaviour categories we expected which are: CRE1 repressed genes at high growth rate (GR), CRE1 induced genes at high GR, genes induced by CRE1 at low GR, genes repressed by CRE1 at low GR, genes repressed or induced by GR alone, CRE1 repressed genes alone and CRE1 induced genes alone.

For the projection matrix learning, we select 350 sentences (5 sentences each person) as training data and the dimension of sparse tensor representation is 32.

Thus, we selected matrix [2,1,1,8,1,1,7] as our final weight matrix for the seven data sources to calculate combined score for each candidate gene, which equals to (3, 1, 1.5, 4, 1, 1, 3.5) when multiplied the best matrix by preWeight.

On the other hand, punctured matrices which we select in this paper are quite simple and can be analyzed more easily.

From a matrix of differential frequencies, we selected the top 100 functional events with the highest average absolute differences.

From the all-against-all matrix of Pearson correlations, we selected the top 100 (0.5%) correlated genes for each SRF gene.

For a more detailed mineralogical and chemical analysis, we selected six matrices: host matrices from the MET 00430, MET 01074 and LAP 02206 chondrites, one matrix from the A 881317 chondrite (A 881317 matrix 5) and two matrices from the RBT 04143 chondrite (RBT 04143 matrix 5 and matrix 6) (Fig. 1).