Sentence examples for disease inference from inspiring English sources

Considering malaria is a highly fatal vector-borne infectious disease, inference on population genetic structure and demography could be of help in the long run for malaria vector management and control.

Similar to maleic acid, there is only five genes curated in CTD database giving only partial interaction information making the disease inference difficult.

Motivation: As the quantity of genomic mutation data increases, the likelihood of finding patients with similar genomic profiles, for various disease inferences, increases.

While this presents a problem for disease gene inference by similarity, the method described here would not be any less applicable.

6) Hardy-Weinberg equilibrium (HWE) test and genetic disease model inference: An HWE test can be a valid association method, and can be used to infer genetic disease models.

Moreover, one extension of this measure - the conditional Mean-Hitting-Time can be used to discover modularity characteristics on the phenotype-gene heterogeneous network and contribute to disease subtype inference.

Herein, based on the assumption that functionally related microRNAs tend to be associated with phenotypically similar diseases, three inference methods were presented for microRNA-disease association prediction, namely MBSI (microRNA-based similarity inference), PBSI (phenotype-based similarity inference) and NetCBI (network-consistency-based inference).

The nature and pattern of the symptoms and physical signs of neurological disease allow inferences to be drawn about the sites of the lesions causing them.

This approach can substantially reduce the sample size that is required to demonstrate freedom from disease, but inferences about other population parameters are generally not possible because the sample design often lacks the properties required for making inferences in a traditional survey sample.

The most recent study related with our work is miRNA-disease association inference based on random walk on a miRNA-miRNA functional similarity network [ 22].

It did not include any assessment of clinical disease thus inferences could only be made about prevalence of exposure to the organisms.