I cooperate with the researchers of the University of Milano-Bicocca on the development of both supervised and unsupervised machine learning methods for the analysis of proteomics data produced with MALDI-MSI. Some examples are:
- DSUUL: discrimination of spectra using self-organizing maps
- An investigation of pre-processing steps in MALDI-MSI
We also work on multi-modal machine learning, e.g., exploiting both MALDI imaging and whole slide imaging.