An algorithm for network-based gene prioritization that encodes knowledge both in nodes and in links.

ABSTRACT:

Background

Candidate gene prioritization aims to identify promising new genes associated with a disease or a biological process from a larger set of candidate genes. In recent years, network-based methods - which utilize a knowledge network derived from biological knowledge - have been utilized for gene prioritization. Biological knowledge can be encoded either through the network's links or nodes. Current network-based methods can only encode knowledge through links. This paper describes a new network-based method that can encode knowledge in links as well as in nodes.

Results

We developed a new network inference algorithm called the Knowledge Network Gene Prioritization (KNGP) algorithm which can incorporate both link and node knowledge. The performance of the KNGP algorit

SUBMITTER: Kimmel C 

PROVIDER: S-EPMC3834271 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature