Arete - candidate gene prioritization using biological network topology with additional evidence types.

ABSTRACT:

Background

Refinement of candidate gene lists to select the most promising candidates for further experimental verification remains an essential step between high-throughput exploratory analysis and the discovery of specific causal genes. Given the qualitative and semantic complexity of biological data, successfully addressing this challenge requires development of flexible and interoperable solutions for making the best possible use of the largest possible fraction of all available data.

Results

We have developed an easily accessible framework that links two established network-based gene prioritization approaches with a supporting isolation forest-based integrative ranking method. The defining feature of the method is that both topological information of the biological net

SUBMITTER: Lysenko A 

PROVIDER: S-EPMC5501438 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature