Vitale, Raffaele; Noord, Onno E. de; Westerhuis, Johan A.; Smilde, Age K.; Ferrer, Alberto(John Wiley & Sons, 2021-02)
[EN] The possibility of addressing the problem of process troubleshooting and understanding by modelling common and distinctive sources of variation (factorsorcomponents) underlying two sets of measurements was explored ...
[EN] Multi-omic studies combine measurements at different molecular levels to build comprehensive models of cellular systems. The success of a multi-omic data analysis strategy depends largely on the adoption of adequate ...
González Martínez, José María; Ferrer Riquelme, Alberto José; Westerhuis, Johan A.(Elsevier, 2011-02-15)
This paper addresses the real-time monitoring of batch processes with multiple different local time trajectories of variables measured during the process run. For Unfold Principal Component Analysis (U-PCA)—or Unfold Partial ...
Vitale, Raffaele; Westerhuis, Johan A.; Naes, Tormod; Smilde, Age K.; De Noord, Onno E.; Ferrer, Alberto(John Wiley & Sons, 2017)
[EN] Selecting the correct number of factors in principal component analysis (PCA) is
a critical step to achieve a reasonable datamodelling,where the optimal strategy
strictly depends on the objective PCA is applied for. ...