Graphical interpretation of non-negative factorization expecting bio-Raman research

Non-negative matrix factorization (NMF) has been frequently used in research on live cells, biomolecules, and tissues (bio-Raman research) to disentangle the complicated and large sized data. A stagnation is that NMF does not provide unique decomposition, depending on initial settings; that is, NMF returns non-negative spectral components close to the truths, but solely giving several possibilities. In this research, we visualized possible ranges of NMF in binary component system. The mechanism of NMF became more clarified and opened new viewpoints.

Automated summary

Research has shown that NMF used in biological data analysis has limitations in providing unique decomposition, but by visualizing the possible ranges of NMF in a binary system, the mechanism has been clarified and new research perspectives have been opened up.