Multi-dimensional data integration algorithm based on random walk with restart.

ABSTRACT:

Background

The accumulation of various multi-omics data and computational approaches for data integration can accelerate the development of precision medicine. However, the algorithm development for multi-omics data integration remains a pressing challenge.

Results

Here, we propose a multi-omics data integration algorithm based on random walk with restart (RWR) on multiplex network. We call the resulting methodology Random Walk with Restart for multi-dimensional data Fusion (RWRF). RWRF uses similarity network of samples as the basis for integration. It constructs the similarity network for each data type and then connects corresponding samples of multiple similarity networks to create a multiplex sample network. By applying RWR on the multiplex network, RWRF uses stationary

SUBMITTER: Wen Y 

PROVIDER: S-EPMC7912853 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature