4 papers
Globally aligned Principal Component Analysis for multi-group data
Hedayat Fathi, Marzia A. Cremona, Federico Severino
We propose a novel principal component analysis (PCA) for multi-group datasets, where the same numerical variables are measured across different groups of observations. Existing ap…
Global testing of SNP-methylation interactions on binary phenotypes via a logistic functional regression model
Yvelin Gansou, Karim Oualkacha, Marzia Angela Cremona +1
Understanding how genetic and epigenetic factors jointly influence binary health outcomes remains a major challenge in biomedical research. We propose a global test for the overall…
Selection of functional predictors and smooth coefficient estimation for scalar-on-function regression models
Hedayat Fathi, Marzia A. Cremona, Federico Severino
In the framework of scalar-on-function regression models, in which several functional variables are employed to predict a scalar response, we propose a methodology for selecting re…
On the bias of H-scores for comparing biclusters, and how to correct it
Jacopo Di Iorio, Francesca Chiaromonte, Marzia A. Cremona
In the last two decades several biclustering methods have been developed as new unsupervised learning techniques to simultaneously cluster rows and columns of a data matrix. These…