Measuring rank robustness in scored protein interaction networks.

ABSTRACT:

Background

Protein interaction databases often provide confidence scores for each recorded interaction based on the available experimental evidence. Protein interaction networks (PINs) are then built by thresholding on these scores, so that only interactions of sufficiently high quality are included. These networks are used to identify biologically relevant motifs or nodes using metrics such as degree or betweenness centrality. This type of analysis can be sensitive to the choice of threshold. If a node metric is to be useful for extracting biological signal, it should induce similar node rankings across PINs obtained at different reasonable confidence score thresholds.

Results

We propose three measures-rank continuity, identifiability, and instability-to evaluate how robust

SUBMITTER: Bozhilova LV 

PROVIDER: S-EPMC6714100 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature