8 citations · 8 across the 4 of their papers we have counts for
4 papers
Restricted Search Space Graph MCMC via Birth-Death Processes
Morris Greenberg, Kieran R Campbell, Radu Craiu
Inferring directed acyclic graphs (DAGs) from data via Markov chain Monte Carlo (MCMC) is computationally challenging in moderate-to-high dimensional settings because their discret…
Computational modelling in single-cell cancer genomics: methods and future directions
Allen W Zhang, Kieran R Campbell
Single-cell technologies have revolutionized biomedical research by enabling scalable measurement of the genome, transcriptome, and proteome of multiple systems at single-cell reso…
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
Kaspar Märtens, Kieran R. Campbell, Christopher Yau
The interpretation of complex high-dimensional data typically requires the use of dimensionality reduction techniques to extract explanatory low-dimensional representations. Howeve…
Stratification of patient trajectories using covariate latent variable models
Kieran R. Campbell, Christopher Yau
Standard models assign disease progression to discrete categories or stages based on well-characterized clinical markers. However, such a system is potentially at odds with our und…