Network-based cancer genomic data integration for pattern discovery.
Fangfang ZhuJiang LiJuan LiuWenwen MinPublished in: BMC genomic data (2021)
All the results demonstrate that SNSVD can overcome the drawbacks of SSVD and capture more biologically relevant functional modules by incorporating a prior gene interaction network. These identified functional modules may provide a new perspective to understand the diagnostics, occurrence and progression of cancer.