Ontology highlight
ABSTRACT: Unlabelled
Identification of protein interaction subnetworks is an important step to help us understand complex molecular mechanisms in cancer. In this paper, we develop a BMRF-Net package, implemented in Java and C++, to identify protein interaction subnetworks based on a bagging Markov random field (BMRF) framework. By integrating gene expression data and protein-protein interaction data, this software tool can be used to identify biologically meaningful subnetworks. A user friendly graphic user interface is developed as a Cytoscape plugin for the BMRF-Net software to deal with the input/output interface. The detailed structure of the identified networks can be visualized in Cytoscape conveniently. The BMRF-Net package has been applied to breast cancer data to identify significant subnetworks related to breast cancer recurrence.Availability and implementation
The BMRF-Net package is available at http://sourceforge.net/projects/bmrfcjava/. The package is tested under Ubuntu 12.04 (64-bit), Java 7, glibc 2.15 and Cytoscape 3.1.0.
SUBMITTER: Shi X
PROVIDER: S-EPMC4495295 | biostudies-literature | 2015 Jul
REPOSITORIES: biostudies-literature
Shi Xu X Barnes Robert O RO Chen Li L Shajahan-Haq Ayesha N AN Hilakivi-Clarke Leena L Clarke Robert R Wang Yue Y Xuan Jianhua J
Bioinformatics (Oxford, England) 20150308 14
<h4>Unlabelled</h4>Identification of protein interaction subnetworks is an important step to help us understand complex molecular mechanisms in cancer. In this paper, we develop a BMRF-Net package, implemented in Java and C++, to identify protein interaction subnetworks based on a bagging Markov random field (BMRF) framework. By integrating gene expression data and protein-protein interaction data, this software tool can be used to identify biologically meaningful subnetworks. A user friendly gr ...[more]