research
∙
03/20/2023
An ADMM approach for multi-response regression with overlapping groups and interaction effects
In this paper, we consider the regularized multi-response regression pro...
share
research
∙
02/24/2023
Tutorial on survival modelling with omics data
Identification of genomic, molecular and clinical markers predictive of ...
research
∙
04/28/2021
BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression
In molecular biology, advances in high-throughput technologies have made...
research
∙
01/14/2021
Structured Bayesian variable selection for multiple related response variables and high-dimensional predictors
It is becoming increasingly common to study the complex association betw...
research
∙
04/16/2020
Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
Important objectives in cancer research are the prediction of a patient'...
research
∙
04/30/2019
Composite local low-rank structure in learning drug sensitivity
The molecular characterization of tumor samples by multiple omics data s...
research
∙
04/01/2019
A Bayesian approach for the study of synergistic interaction effects in in-vitro drug combination experiments
Increasing effort is devoted to the study of the combined effect of two ...
research
∙
02/13/2019
