Ontology highlight
ABSTRACT:
SUBMITTER: Tharmaratnam K
PROVIDER: S-EPMC5010709 | biostudies-literature | 2016 Sep
REPOSITORIES: biostudies-literature
Tharmaratnam Kukatharmini K Sperrin Matthew M Jaki Thomas T Reppe Sjur S Frigessi Arnoldo A
BMC bioinformatics 20160902 1
<h4>Background</h4>It is useful to incorporate biological knowledge on the role of genetic determinants in predicting an outcome. It is, however, not always feasible to fully elicit this information when the number of determinants is large. We present an approach to overcome this difficulty. First, using half of the available data, a shortlist of potentially interesting determinants are generated. Second, binary indications of biological importance are elicited for this much smaller number of de ...[more]