- Discovery and scoring of protein interaction subnetworks discriminative of late stage human colon cancerRod K Nibbe
Department of Pharmacology, Case Western Reserve University, Cleveland, Ohio 44106, USA
Mol Cell Proteomics 8:827-45. 2009..Overall the method outlines a quantitative approach for integrating proteomics data, gene expression data, and the wealth of accumulated legacy experimental data to discover significant protein subnetworks specific to disease...
- An integrative -omics approach to identify functional sub-networks in human colorectal cancerRod K Nibbe
Center for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, Ohio, United States of America
PLoS Comput Biol 6:e1000639. 2010..Cross-classification experiments to predict disease class show excellent performance using only a few sub-networks, underwriting the strength of the proposed approach in discovering relevant and reproducible sub-networks...
- Protein-protein interaction networks and subnetworks in the biology of diseaseRod K Nibbe
Center for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH, USA
Wiley Interdiscip Rev Syst Biol Med 3:357-67. 2011....
- Identifying stage-specific protein subnetworks for colorectal cancerSinan Erten
Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA
BMC Proc 6:S1. 2012..These algorithms use protein-protein interaction (PPI) networks as an integrative framework and identify subnetworks that are coordinately dysregulated in the phenotype of interest...
- Subnetwork state functions define dysregulated subnetworks in cancerSalim A Chowdhury
Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, Ohio, USA
J Comput Biol 18:263-81. 2011..Comprehensive cross-classification experiments show that subnetworks identified by Crane outperform those identified by additive algorithms in predicting metastasis of colorectal cancer (CRC)...