netClass: an R-package for network based, integrative biomarker signature discovery

Steiner tree methods for optimal sub-network identification: an empirical study

(2013) Afshin Sadeghi et al.   BMC BIOINFORMATICS

Network and Data Integration for Biomarker Signature Discovery via Network Smoothed T-Statistics

(2013) Yupeng Cun et al.   PLoS One

Prognostic gene signatures for patient stratification in breast cancer - accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions

(2012) Yupeng Cun et al.   BMC BIOINFORMATICS

Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes

(2012) Christof Winter et al.   PLoS Computational Biology

pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery

(2011) M. Johannes et al.   BIOINFORMATICS

Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients

(2010) Marc Johannes et al.   BIOINFORMATICS

Incorporating pathway information into boosting estimation of high-dimensional risk prediction models

(2009) Harald Binder et al.   BMC BIOINFORMATICS

Dynamic modularity in protein interaction networks predicts breast cancer outcome

(2009) Ian W Taylor et al.   NATURE BIOTECHNOLOGY

Inferring Pathway Activity toward Precise Disease Classification

(2008) Eunjung Lee et al.   PLoS Computational Biology