Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering.

ABSTRACT: BACKGROUND:The study of functional associations between ncRNAs and human diseases is a pivotal task of modern research to develop new and more effective therapeutic approaches. Nevertheless, it is not a trivial task since it involves entities of different types, such as microRNAs, lncRNAs or target genes whose expression also depends on endogenous or exogenous factors. Such a complexity can be faced by representing the involved biological entities and their relationships as a network and by exploiting network-based computational approaches able to identify new associations. However, existing methods are limited to homogeneous networks (i.e., consisting of only one type of objects and relationships) or can exploit only a small subset of the features of biological entities, such as the prese

SUBMITTER: Barracchia EP 

PROVIDER: S-EPMC7041288 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature