Edoardo Saccenti

Introduction

Edoardo Saccenti received his Master of Science in Physics at the University of Florence with a thesis focused on mathematical modelling of detection systems for Positron Emission Tomography. In 2008 he received an Internationl Ph.D. title in Structural Biology in the frame of the Ph.D. school of the University of Florence (IT), Utrecht (NL) and Frankfurt (DE) with a thesis on the assessment of the quality of structural and genomic data by means of bioinformatics, computational and experimental methods. He was Research Fellow at the University of Florence before to join, in February 2009, the Biosystems Data Analysis Group at the Swammerdam Institute for Life Sciences of the University of Amsterdam to work with Prof. Age K. Smilde.

Projects

Metabolomics data are highly complex in nature. Distinguishing informative variation, related to the biological problem studied, from non informative variation due to noise and/or to experimental techniques is pivotal when analysing metabolomics data. This separation can be accomplished in the frame of Simplivariate Models, where the informative part, accounting for biological variation, is modelled by simple components with a biological meaning. Trough the interaction between biologist and data analysts, Simplivariate Models can provide models that are easy to interpret tough retaining features of multivariate analysis such as correlation and comprehensiveness.