Matrix factorization of high dimension data
In oncology research, it is a common goal to uncover specific molecular pattern of cancer. High-throughput sequencing has been become the routine approach to start with. However, sequencing technique such as RNA-Seq and bisulfite sequencing generates high dimension data and therefore suffers from what we call as 'dimension curse'. How to reduce data dimension while preserving biological pattern has been under active research. We PREVIOUSLY discussed dimension reduction. In ad