2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
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…
False Discovery estimation in Record Linkage
Kayané Robach, Michel H. Hof, Mark A. van de Wiel
Integrating data from multiple sources expands research opportunities at low cost. However, due to different data collection processes and privacy constraints, unique identifiers a…
A Flexible Model for Record Linkage
Kayané Robach, Stéphanie L van der Pas, Mark A van de Wiel +1
Combining data from various sources empowers researchers to explore innovative questions, for example those raised by conducting healthcare monitoring studies. However, the lack of…
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…