cell-type heterogeneity

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 …