bio-multi-omics-similarity-network

What problem does it solve?

SNF enables robust stratification by integrating heterogeneous omics profiles into a single, comparable patient similarity network, supporting subtype discovery and cross-omic insights.

Core Features & Use Cases

• Fuse multiple omics-specific similarity networks into one fused network for clustering and survival analysis.
• Enable patient stratification, prognosis assessment, and integration of clinical features as additional views.
• Use Case: combine RNA-seq, DNA methylation, and clinical data to identify patient subtypes and compare outcomes.

Quick Start

Provide a merged multi-omics matrix and run SNF to generate a fused patient similarity network and identify clusters.