Sentence examples for construct disease from inspiring English sources

Therefore, it would be more accurate to construct disease similarity network based on semantic similarity measures on phenotype ontology database.

We also note that, many other semantic similarity measures proposed to calculate similarity between annotated biomedical entities can be used to construct disease similarity networks.

In this paper, we present an approach to automatically construct disease related knowledge summarization from biomedical literature.

The "common sense model of illness representations" describes how patients facing a health problem construct disease cognitions related to symptoms, causes, duration, controllability and consequences [ 23- 26].

In this paper, we present an approach to automatically construct disease related knowledge summarization from biomedical literature, which can find not only direct relations between biomedical entities but also their hidden relations.

Our method to construct disease associated network is based on the observation that proteins coded by genes associated with the same disease tend to be closely located to each other in the protein interaction network [ 8, 31, 32].

The Search Tool for Retrieval of Interacting Genes/Protein (STRING) database [ 27] was used to collect protein interaction data to construct disease-protein network (DPN) from 1209 seed genes.

Furthermore, a correlation metric is commonly used for describing the relationships between genes, whereas the relevance concept can be used to characterize the target-dependent behaviour and properties of a feature gene, and thus is well suited to identify novel disease-relevant genes and to construct disease-specific gene networks.

Distinguishing it from the correlation metric commonly used for describing the relationships between genes, the relevance concept can be used to characterize target-dependent behaviour and properties of feature genes, and thus is well suited to identify novel disease-relevance genes and to construct disease-specific gene networks.

Therefore, in this study, we constructed disease similarity networks/matrices using HPO instead of DO.

The data generated by NGS can be used to fully understand the lineage of naturally or maliciously constructed disease isolates, and could even yield information about past propagation and culturing conditions due to mutations that occur during passage [2], [3].