Prediction of an outcome using NETwork Clusters (NET-C).

ABSTRACT: Birth weight is a key consequence of environmental exposures and metabolic alterations and can influence lifelong health. While a number of methods have been used to examine associations of trace element (including essential nutrients and toxic metals) concentrations or metabolite concentrations with a health outcome, birth weight, studies evaluating how the coexistence of these factors impacts birth weight are extremely limited. Here, we present a novel algorithm NETwork Clusters (NET-C), to improve the prediction of outcome by considering the interactions of features in the network and then apply this method to predict birth weight by jointly modelling trace element and cord blood metabolite data. Specifically, by using trace element and/or metabolite subnetworks as groups, we apply grou

SUBMITTER: Lee JW 

PROVIDER: S-EPMC7867575 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature