network enrichment

BiCoN: Network-constrained biclustering of patients and omics data

**Motivation** Unsupervised learning approaches are frequently employed to identify patient subgroups and biomarkers such as disease-associated genes. Thus, clustering and biclustering are powerful techniques often used with expression data, but are …

De Novo Pathway-Based Classification of Breast Cancer Subtypes

Breast cancer is a heterogeneous disease for which various clinically relevant subtypes have been reported. These subtypes are characterized by molecular differences which direct treatment selection. The state of the art for breast cancer subtyping …