212 citations · 519 across the 18 of their papers we have counts for
20 papers
Bayesian detection of piecewise linear trends in replicated time-series with application to growth data modelling
Panagiotis Papastamoulis, Takanori Furukawa, Norman van Rhijn +3
We consider the situation where a temporal process is composed of contiguous segments with differing slopes and replicated noise-corrupted time series measurements are observed. Th…
Bayesian estimation of Differential Transcript Usage from RNA-seq data
Panagiotis Papastamoulis, Magnus Rattray
Next generation sequencing allows the identification of genes consisting of differentially expressed transcripts, a term which usually refers to changes in the overall expression l…
BayesBinMix: an R Package for Model Based Clustering of Multivariate Binary Data
Panagiotis Papastamoulis, Magnus Rattray
The BayesBinMix package offers a Bayesian framework for clustering binary data with or without missing values by fitting mixtures of multivariate Bernoulli distributions with an un…
Identifying stochastic oscillations in single-cell live imaging time series using Gaussian processes
Nick E. Phillips, Cerys Manning, Nancy Papalopulu +1
Multiple biological processes are driven by oscillatory gene expression at different time scales. Pulsatile dynamics are thought to be widespread, and single-cell live imaging of g…
Inferring the perturbation time from biological time course data
Jing Yang, Christopher A. Penfold, Murray R. Grant +1
Time course data are often used to study the changes to a biological process after perturbation. Statistical methods have been developed to determine whether such a perturbation in…
Genome-wide modelling of transcription kinetics reveals patterns of RNA production delays
Antti Honkela, Jaakko Peltonen, Hande Topa +7
Genes with similar transcriptional activation kinetics can display very different temporal mRNA profiles due to differences in transcription time, degradation rate and RNA processi…