Sentence examples for ones we generated from inspiring English sources

Exact(1)

For comparison purposes, to distinguish between well predicted cliques of orthologs and randomly predicted ones, we generated a set of cliques with OCLs between 3 and 10 populated with genes selected uniformly at random from complete pools of genes for each of the 10 plant species.

Similar(59)

We observe a similar pattern of expression divergence when using an expression data set from human blood (GEO Series accession number GSE33701) [ 25] as the one we generated from pigs (Additional file 5).

Starting with a lead [1,5-a]pyrimidin-7(4H -one-containing molecule (1), we generated potent, selective and orally bioavailable KDM5 inhibitors.

For group one, we generate all sets with k5 SUs i 10 ∈ Ξ k 5, j 4 l 5 where SU i9 collects correct sensing information from SUs i10 (i.e., there is no error on the channel between i9 and i10).

We then randomly choose a fraction of these SNPs to be null and set all their allele states to zero or one with probability 1 2. We generate the mixture proportions within samples by drawing N times from a Dirichlet distribution with α K varying with a mixture parameter ρ.

To test whether the α values estimated in M3 were significantly different from one another, we generated 10 000 permutations in which the loci were randomly assigned to one of two gene classes, and values of their respective α were estimated.

Because some genes were identified in more than one strain, we generated deletions that enabled us to test a total of 44 candidate alleles by reciprocal hemizygosity analysis.

For all phosphoserines and, separately, for the subset of phosphoserines observed in more than one experiment, we generated 10000 random sets of non-modified serines of appropriate size.

In one experiment, we generated genome maps from a trio from the 1000 Genomes Project, compared the maps against that derived from the reference human genome, and identified structural variations that are >5 kb in size.

To assess the extent to which taxonomic groups in this study show spatial congruence to one another, we generated spatial overlays of two measures of diversity – species richness and threatened-species richness – for each taxonomic group.

Testing in vivo tumorigenicity, we verified that non self-renewing cells did not form tumors when engrafted in immunodeficient mice brains whereas the three long-term self-renewing ones we tested generated tumors respecting the histological and molecular profile of the original human lesion.

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