Integration of breast cancer gene signatures based on graph centrality

Protein-network modeling of prostate cancer gene signatures reveals essential pathways in disease recurrence

(2011) James L Chen et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

A multilevel data integration resource for breast cancer study

(2010) Ettore Mosca et al.   BMC Systems Biology

Protein interaction network underpins concordant prognosis among heterogeneous breast cancer signatures

(2010) James Chen et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Network Modeling Identifies Molecular Functions Targeted by miR-204 to Suppress Head and Neck Tumor Metastasis

(2010) Younghee Lee et al.   PLoS Computational Biology

Modifying the DPClus algorithm for identifying protein complexes based on new topological structures

(2008) Min Li et al.   BMC BIOINFORMATICS

Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability

(2008) Martin H van Vliet et al.   BMC GENOMICS

Comparison of prognostic gene expression signatures for breast cancer

(2008) Benjamin Haibe-Kains et al.   BMC GENOMICS

Can Systems Biology Understand Pathway Activation? Gene Expression Signatures as Surrogate Markers for Understanding the Complexity of Pathway Activation

(2008) Hiraku Itadani et al.   CURRENT GENOMICS