25 citations · 34 across the 3 of their papers we have counts for
3 papers
Explainable Deep Learning to Profile Mitochondrial Disease Using High Dimensional Protein Expression Data
Atif Khan, Conor Lawless, Amy E Vincent +3
Mitochondrial diseases are currently untreatable due to our limited understanding of their pathology. We study the expression of various mitochondrial proteins in skeletal myofibre…
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…
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…