50 citations · 74 across the 4 of their papers we have counts for
Showing stat.APShow all
2 papers · 1 filter
stat.AP2016★ 50 cited
A phylogenetic latent feature model for clonal deconvolution
Francesco Marass, Florent Mouliere, Ke Yuan +2
Tumours develop in an evolutionary process, in which the accumulation of mutations produces subpopulations of cells with distinct mutational profiles, called clones. This process l…
stat.AP2014★ 17 cited
Reconstructing evolving signalling networks by hidden Markov nested effects models
Xin Wang, Ke Yuan, Christoph Hellmayr +2
Inferring time-varying networks is important to understand the development and evolution of interactions over time. However, the vast majority of currently used models assume direc…