Spinal Muscle Atrophy Disease Modelling as Bayesian Network

Helal, Manal (2021) Spinal Muscle Atrophy Disease Modelling as Bayesian Network. Journal of Physics: Conference Series, 2128: 012015. ISSN 1742-6588
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We investigate the molecular gene expressions studies and public databases for disease modelling using Probabilistic Graphical Models and Bayesian Inference. A case study on Spinal Muscle Atrophy Genome-Wide Association Study results is modelled and analyzed. The genes up and down-regulated in two stages of the disease development are linked to prior knowledge published in the public domain and co-expressions network is created and analyzed. The Molecular Pathways triggered by these genes are identified. The Bayesian inference posteriors distributions are estimated using a variational analytical algorithm and a Markov chain Monte Carlo sampling algorithm. Assumptions, limitations and possible future work are concluded.


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