WINNER: A network biology tool for biomolecular characterization and prioritization.

ABSTRACT:

Background and contribution

In network biology, molecular functions can be characterized by network-based inference, or "guilt-by-associations." PageRank-like tools have been applied in the study of biomolecular interaction networks to obtain further the relative significance of all molecules in the network. However, there is a great deal of inherent noise in widely accessible data sets for gene-to-gene associations or protein-protein interactions. How to develop robust tests to expand, filter, and rank molecular entities in disease-specific networks remains an ad hoc data analysis process.

Results

We describe a new biomolecular characterization and prioritization tool called Weighted In-Network Node Expansion and Ranking (WINNER). It takes the input of any molecular interac

SUBMITTER: Nguyen T 

PROVIDER: S-EPMC9672476 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature