Le BARS
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Noradrenergic alterations in Parkinson’s disease: a combined 11C-yohimbine PET/neuromelanin MRI study
Degeneration of the noradrenergic system is now considered a pathological hallmark of Parkinson’s disease but little is known about its consequences in terms of parkinsonian manifestations. Here, we evaluate two aspects of the noradrenergic system using multimodal in vivo imaging in patients with Parkinson’s disease and healthy controls: the pigmented cell bodies of the locus coeruleus with neuromelanin sensitive MRI and the density of α2-adrenergic receptors (ARs) with PET using [11C]yohimbine.
Predicting weighted unobserved nodes in a regulatory network using answer set programming
BMC Bioinformatics, Aug 2023 The impact of a perturbation, over-expression, or repression of a key node on an organism, can be modelled based on a regulatory and/or metabolic network. Integration of these two networks could improve our global understanding of biological mechanisms triggered by a perturbation. This study focuses on improving the modelling of the regulatory network to facilitate a possible integration with the metabolic network.
Predicting weighted unobserved nodes in a regulatory network using answer set programming - BMC Bioinformatics
We show in this section the results obtained after applying MajS (see section "Methods") on two case-studies. All scripts and data are available on GitHub: https://github.com/soph-lebars/MajS. We focus on the regulatory network, modelled by an interaction graph (IG), and the impact of a perturbation on this regulatory network evaluated by discrete observations obtained from two gene expression datasets.
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