Sentence examples for maps we identified from inspiring English sources

Using self-organizing maps, we identified clusters of genes that exhibit similar expression dynamics and uncovered previously unrecognized positive and negative feedback loops.

From this comprehensive collection of whole-genome methylation maps, we identified more than 50 000 experimentally supported CGIs ('eCGIs'eCGIs

Although a general colinearity is observed between the two maps, we identified some new blocks (T in B4 and G, H, I in B8) in the B genome of B. juncea which were not detected in the earlier study.

By matching these gel maps with published two-dimensional BALF maps, we identified 30 proteins corresponding to the 47 spots and spot-trains that did not vary in quantity between the two patient groups (Table 3).

When we looked for regions in which both RS and RE voxels exhibited significant pattern consistency across runs (P < 0.001 uncorrected, k > 20 for both maps), we identified 2 clusters (k > 20) which were the right fusiform region and the precuneus ([−26, −72, 34]).

By considering the underlying gene(s) for a QTL to exist between the closest flanking sequence-based markers (the only link we have between the genetic and physical maps), we identified and plotted the expression of all collocating candidate genes from the current study within those seven QTL regions across the five experiments presented in Figure 5.

Within this map we identified distinct functional connections associated with verbal and visuospatial memory.

Using zip code data and using geographic mapping, we identified two main clusters where injuries were occurring.

In this systematic mapping, we identified 18 survey papers associated to the theme text mining and semantics [14 31].

To devise this map, we identified transcriptional enhancers and insulators in these cells and placed them within the context of cohesin-associated CTCF-CTCF loops using cohesin ChIA-PET data.

Interval mapping demonstrated a relatively similar genome-wide map for both conditions with a suggestive Quantitative Trait Locus (QTL) on proximal Chromosome 3. When the relative axon loss was used to generate a genome-wide interval map, we identified one significant QTL (p < 0.05) on Chromosome 18 between 53.6 and 57 Mb.