Sentence examples for relationship representation from inspiring English sources

In the context of human connectomics, such representations are not however always satisfactory because canonical methods for vertex edge relationship representation do not always offer optimal insight regarding functional and structural neural connectivity.

To check for bias in the selection of SNPs, several SNP data consisting of 20K and 25K randomly selected SNPs were generated and the IBS computed using our algorithm and the visual tool graphical relationship representation (GRR) [10] (see Figure S2).

The correct relationships in families were confirmed by the program Graphical Relationship Representation (Abecasis et al., 2001).

In IntPath, we overcome the above two limitations by normalizing the pathway gene representations and gene relationship representations from different databases into unified IntPath gene and relationship representation.

Latent clustering of genotypes because of population substructure was assessed by pairwise identity-by-state (IBS) distance using Graphical Relationship Representation (GRR) [ http://bioinformatics.well.ox.ac.uk/GRR, (Abecasis et al., 2001)].

Inconsistent molecular relationship representations may also cause confusion when referencing pathway information from different repositories.

The unified IntPath gene relationship representations are listed in Table 1.

The limitations of inconsistent molecular representations and inconsistent molecular relationship representations have been overcome by our normalization of the data into common gene name representations and common relationship types which are compatible with other database.

We accomplished in IntPath the integration of pathway-gene and pathway-gene pair relationships, achieving compatible data formats, consistent molecular representations, consistent relationship representations, consistent referrals to pathway names and comprehensive data.

However, the effectiveness of these databases is hindered by issues such as incompatible data formats, inconsistent molecular representations, inconsistent molecular relationship representations, inconsistent referrals to pathway names, and incomprehensive data from different databases.

We achieve compatible data formats, consistent molecular representations, consistent relationship representations, consistent referrals to pathway names and comprehensive data in our IntPath database for several organisms--viz., H. sapiens, S. cerevisiae, M. musculus and M. tuberculosis H37Rv.