35 citations · 55 across the 6 of their papers we have counts for
7 papers
Structural randomised selection
Fan Wang, Sylvia Richardson, Steven M. Hill
An important problem in the analysis of high-dimensional omics data is to identify subsets of molecular variables that are associated with a phenotype of interest. This requires ad…
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +93
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international…
High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking
Fan Wang, Sach Mukherjee, Sylvia Richardson +1
Penalized likelihood approaches are widely used for high-dimensional regression. Although many methods have been proposed and the associated theory is now well-developed, the relat…
Causal Learning via Manifold Regularization
Steven M. Hill, Chris. J. Oates, Duncan A. Blythe +1
This paper frames causal structure estimation as a machine learning task. The idea is to treat indicators of causal relationships between variables as `labels' and to exploit avail…
Inferring network structure from interventional time-course experiments
Simon E. F. Spencer, Steven M. Hill, Sach Mukherjee
Graphical models are widely used to study biological networks. Interventions on network nodes are an important feature of many experimental designs for the study of biological netw…
Network-based clustering with mixtures of L1-penalized Gaussian graphical models: an empirical investigation
Steven M. Hill, Sach Mukherjee
In many applications, multivariate samples may harbor previously unrecognized heterogeneity at the level of conditional independence or network structure. For example, in cancer bi…
On the relationship between ODEs and DBNs
Chris. J. Oates, Steven. M. Hill, Sach Mukherjee
Recently, Li et al. (Bioinformatics 27(19), 2686-91, 2011) proposed a method, called Differential Equation-based Local Dynamic Bayesian Network (DELDBN), for reverse engineering ge…