Graph Algorithms for Condensing and Consolidating Gene Set Analysis Results.

ABSTRACT: Gene set analysis plays a critical role in the functional interpretation of omics data. Although this is typically done for one omics experiment at a time, there is an increasing need to combine gene set analysis results from multiple experiments performed on the same or different omics platforms, such as in multi-omics studies. Integrating results from multiple experiments is challenging, and annotation redundancy between gene sets further obscures clear conclusions. We propose to use a weighted set cover algorithm to reduce redundancy of gene sets identified in a single experiment. Next, we use affinity propagation to consolidate similar gene sets identified from multiple experiments into clusters and to automatically determine the most representative gene set for each cluster. Using thr

SUBMITTER: Savage SR 

PROVIDER: S-EPMC6692773 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature