3 papers
stat.ME2026
Bivariate deconvolution for cancer detection after surgery
Nuria Senar, Stavros Makrodimitris, Michel H. Hof +3
Detection of minimal residual disease (MRD) in cancer patients after surgery can provide an early marker for disease recurrence and guide subsequent treatment decisions. Accurate a…
stat.ME2025
Sparse canonical correlation analysis for multiple measurements with latent trajectories
Nuria Senar, Aeilko H. Zwinderman, Michel H. Hof and
Canonical Correlation Analysis, CCA, is a widely used multivariate method in omics research for integrating high dimensional datasets. CCA identifies hidden links by deriving linea…
stat.ME2023
A framework for interpretation and testing of sparse canonical correlations
Nuria Senar, Mark van de Wiel, Aeilko Zwinderman +1
In clinical and biomedical research, multiple high-dimensional datasets are nowadays routinely collected from omics and imaging devices. Multivariate methods, such as Canonical Cor…