Analysing omics data sets with weighted nodes networks (WNNets).

ABSTRACT: Current trends in biomedical research indicate data integration as a fundamental step towards precision medicine. In this context, network models allow representing and analysing complex biological processes. However, although effective in unveiling network properties, these models fail in considering the individual, biochemical variations occurring at molecular level. As a consequence, the analysis of these models partially loses its predictive power. To overcome these limitations, Weighted Nodes Networks (WNNets) were developed. WNNets allow to easily and effectively weigh nodes using experimental information from multiple conditions. In this study, the characteristics of WNNets were described and a proteomics data set was modelled and analysed. Results suggested that degree, an establis

SUBMITTER: Tosadori G 

PROVIDER: S-EPMC8280138 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature