Monday Webinar Preprocessing revisited

We were so lucky to have Federico Marini (https://lnkd.in/ewtip7R) tell us about new developments in chemometric preprocessing in a recent webinar. You can watch it here.

The story: Experimental data may be affected by several sources of variability, not all of interest for the specific task the data are collected for. To, at least partially, reduce or eliminate the effect of such unwanted variability, chemometric model building usually includes one or more pre-processing steps. However, the choice of the best pretreatment or combination of pretreatments to be applied to the data is not always obvious and, in general, a trial and error procedure is followed. In the present communication, a recently proposed strategy, based on the idea that the same set of spectra, differently preprocessed could result in a multi-block data, and, accordingly, be processed through dedicated multi-block strategies, will be presented. With the occasion, a recently proposed alternative to data normalization called Variable Sorting for Normalization will also be introduced.