Normalized L3-based link prediction in protein-protein interaction networks.

ABSTRACT:

Background

Protein-protein interaction (PPI) data is an important type of data used in functional genomics. However, high-throughput experiments are often insufficient to complete the PPI interactome of different organisms. Computational techniques are thus used to infer missing data, with link prediction being one such approach that uses the structure of the network of PPIs known so far to identify non-edges whose addition to the network would make it more sound, according to some underlying assumptions. Recently, a new idea called the L3 principle introduced biological motivation into PPI link predictions, yielding predictors that are superior to general-purpose link predictors for complex networks. Interestingly, the L3 principle can be interpreted in another way, so that other

SUBMITTER: Yuen HY 

PROVIDER: S-EPMC9945744 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature