Sentence examples for between a query disease from inspiring English sources

The MIF is served to measure the value of functional relationship between a query disease and a candidate complex.

Given the phenotype similarity network, we use y pp' to denote the similarity score between a query disease phenotype p and another disease phenotype p'.

Intuitively, the inclusion of known relationships between a query disease and all its associated genes may facilitate the identification of novel genes that are associated with the disease.

Chen et al. proposed a maximum flow model called MAXIF to calculate strength of associations between a query disease and a set of candidate genes [ 19].

To optimize the relationship between a query disease and a protein complex, the maximum information flow (MIF) between them is calculated through a heterogeneous network that is constructed by using protein-protein interactions and disease phenotypic similarities.

MAXCOM performs a maximum information flow algorithm to optimize relationships between a query disease and candidate protein complexes through a heterogeneous network that is constructed by combining protein-protein interactions and disease phenotypic similarities.

These studies demonstrate that association relationships between protein complexes and a query disease could enhance the inference of disease genes.

We proposed to convert each genomic data source into a pairwise similarity profile describing functional similarity of genes and then use a multiple regression model to characterize the strength of association between a candidate gene and a query disease.

For example, Lage et al. proposed to identify the aggregates of proteins connected to a candidate protein in a PPI network as a protein complex by a virtual pull-down procedure and infer the association between the candidate protein and a query disease based on members of the protein complex [ 15].

A common characteristic of these methods is the requirement of a set of genes known as associated with a query disease before the inference of novel associations between the query disease and candidate genes.

Then, in each validation run, we take a test protein complex, identify a query disease as the one with which the complex is associated, pretend that all annotated associations between the query disease and proteins (or corresponding genes) are unknown, and then rank the test protein complex against a collection of control protein complexes.