Multivariate analyses for biomarkers hunting and validation through on-tissue bottom-up or in-source decay in MALDI-MSI: application to prostate cancer.

@article{Bonnel2011MultivariateAF,
  title={Multivariate analyses for biomarkers hunting and validation through on-tissue bottom-up or in-source decay in MALDI-MSI: application to prostate cancer.},
  author={David Bonnel and R{\'e}mi Longuesp{\'e}e and Julien Franck and Morad Roudbaraki and Pierre Gosset and Robert Day and Michel Salzet and Isabelle Fournier},
  journal={Analytical and bioanalytical chemistry},
  year={2011},
  volume={401 1},
  pages={149-65}
}
The large amount of data generated using matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) poses a challenge for data analysis. In fact, generally about 1.10(8)-1.10(9) values (m/z, I) are stored after a single MALDI-MSI experiment. This imposes processing techniques using dedicated informatics tools to be used since manual data interpretation is excluded. This work proposes and summarizes an approach that utilizes a multivariable analysis of MSI data. The… CONTINUE READING