Learning from biomedical linked data to suggest valid pharmacogenes.

ABSTRACT:

Background

A standard task in pharmacogenomics research is identifying genes that may be involved in drug response variability, i.e., pharmacogenes. Because genomic experiments tended to generate many false positives, computational approaches based on the use of background knowledge have been proposed. Until now, only molecular networks or the biomedical literature were used, whereas many other resources are available.

Method

We propose here to consume a diverse and larger set of resources using linked data related either to genes, drugs or diseases. One of the advantages of linked data is that they are built on a standard framework that facilitates the joint use of various sources, and thus facilitates considering features of various origins. We propose a selection and link

SUBMITTER: Dalleau K 

PROVIDER: S-EPMC5399403 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature