25 citations · 34 across the 3 of their papers we have counts for
3 papers
q-bio.QM2015★ 9 cited
Bayesian hierarchical modelling for inferring genetic interactions in yeast
Jonathan Heydari, Conor Lawless, David A. Lydall +1
Quantitative Fitness Analysis (QFA) is a high-throughput experimental and computational methodology for measuring the growth of microbial populations. QFA screens can be used to co…
stat.AP2014
Bayesian hierarchical modelling for inferring genetic interactions in yeast
Jonathan Heydari
Identifying genetic interactions for a given microorganism such as yeast is difficult. Quantitative Fitness Analysis (QFA) is a high-throughput experimental and computational metho…
stat.AP2013★ 25 cited
Fast Bayesian parameter estimation for stochastic logistic growth models
Jonathan Heydari, Conor Lawless, David A. Lydall +1
The transition density of a stochastic, logistic population growth model with multiplicative intrinsic noise is analytically intractable. Inferring model parameter values by fittin…