40 citations · 62 across the 4 of their papers we have counts for
4 papers
Exploring Bayesian approaches to eQTL mapping through probabilistic programming
Dimitrios V Vavoulis
The discovery of genomic polymorphisms influencing gene expression (also known as expression quantitative trait loci or eQTLs) can be formulated as a sparse Bayesian multivariate/m…
DGEclust: differential expression analysis of clustered count data
Dimitrios V Vavoulis, Margherita Francescatto, Peter Heutink +1
Most published studies on the statistical analysis of count data generated by next-generation sequencing technologies have paid surprisingly little attention on cluster analysis. W…
Non-parametric Bayesian modelling of digital gene expression data
Dimitrios V. Vavoulis, Julian Gough
Next-generation sequencing technologies provide a revolutionary tool for generating gene expression data. Starting with a fixed RNA sample, they construct a library of millions of…
A self-organizing state-space-model approach for parameter estimation in Hodgkin-Huxley-type models of single neurons
Dimitrios V. Vavoulis, Volko A. Straub, John A. D. Aston +1
Traditionally, parameter estimation in biophysical neuron and neural network models usually adopts a global search algorithm, often combined with a local search method in order to…