107 citations · 199 across the 3 of their papers we have counts for
5 papers
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks
Avelino Javer, Owen Parsons, Oliver Carr +6
Electronic healthcare records are an important source of information which can be used in patient stratification to discover novel disease phenotypes. However, they can be challeng…
The structure of the genotype-phenotype map strongly constrains the evolution of non-coding RNA
Kamaludin Dingle, Steffen Schaper, Ard A. Louis
The prevalence of neutral mutations implies that biological systems typically have many more genotypes than phenotypes. But can the way that genotypes are distributed over phenotyp…
Genetic correlations greatly increase mutational robustness and can both reduce and enhance evolvability
Sam F. Greenbury, Steffen Schaper, Sebastian E. Ahnert +1
Mutational neighbourhoods in genotype-phenotype (GP) maps are widely believed to be more likely to share characteristics than expected from random chance. Such genetic correlations…
The arrival of the frequent: how bias in genotype-phenotype maps can steer populations to local optima
Ard A Louis, Steffen Schaper
Genotype-phenotype (GP) maps specify how the random mutations that change genotypes generate variation by altering phenotypes, which, in turn, can trigger selection. Many GP maps s…
Epistasis can lead to fragmented neutral spaces and contingency in evolution
Steffen Schaper, Iain G. Johnston, Ard A. Louis
In evolution, the effects of a single deleterious mutation can sometimes be compensated for by a second mutation which recovers the original phenotype. Such epistatic interactions…