Dynamic Bayesian network learning to infer sparse models from time series gene expression data HB Ajmal, MG Madden IEEE/ACM transactions on computational biology and bioinformatics 19 (5
, 2021 | 16 | 2021 |
Dealing with stochasticity in biological ODE models H Ajmal, M Madden, C Enright arXiv preprint arXiv:1910.04909, 2019 | 3 | 2019 |
Inferring dynamic gene regulatory networks with low-order conditional independenciesan evaluation of the method HB Ajmal, MG Madden Statistical Applications in Genetics and Molecular Biology 19 (4-6), 20200051, 2020 | 2 | 2020 |
PROFET: Construction and inference of DBNs based on mathematical models H Ajmal, M Madden, C Enright arXiv preprint arXiv:1910.04895, 2019 | 2 | 2019 |
Agent-Based Modelling of Mpox Infection Dynamics: Simulating Disease Transmission and Control Strategies H Ajmal, E Hunter, J Duggan, C Timoney, C Walsh Journal of Artificial Societies and Social Simulation 27 (2), 2024 | 1 | 2024 |
A Review of Bayesian Modelling Methods for Gene Regulatory Network Inference HB Ajmal, MG Madden | 1 | |
Using crisis text messaging service data to measure the impact of the COVID-19 Pandemic on mental health in Ireland H Ajmal, R Melia, K Young, J Bogue, H Wood, M O'Sullivan, J Duggan Behaviour & Information Technology, 1-18, 2023 | | 2023 |
Dynamic Bayesian Modelling of Biological Networks HB Ajmal National University of Ireland Galway, 2021 | | 2021 |
PROFET: Construction and Inference of DBNs Based on Mathematical Models H bint e Ajmal, M Madden, C Enright | | |
Dealing with Stochasticity in Biological ODE Models H bint e Ajmal, M Madden, C Enright | | |