UH Biocomputation Group - Bayesian Inferencehttp://biocomputation.herts.ac.uk/2021-10-06T12:07:55+01:00Spinal Muscle Atrophy Disease Modelling as Bayesian Network2021-10-06T12:07:55+01:002021-10-06T12:07:55+01:00Manal Helaltag:biocomputation.herts.ac.uk,2021-10-06:/2021/10/06/spinal-muscle-atrophy-disease-modelling-as-bayesian-network.html<p class="first last">Manal Helal's Journal Club session where she will talk about her current work on "Spinal Muscle Atrophy Disease Modelling as Bayesian Network"</p>
<p>This week on Journal Club session Manal Helal will talk about her current work on "Spinal Muscle Atrophy Disease Modelling as Bayesian Network".</p>
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<p>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 2 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.</p>
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<p><strong>Date:</strong> 2021/10/08 <br />
<strong>Time:</strong> 14:00 <br />
<strong>Location</strong>: online</p>