Article
An artificial neural network approach integrating plasma proteomics and genetic data identifies PLXNA4 as a new susceptibility locus for pulmonary embolism.
Scientific reports - 7 Jul 2021
Razzaq Misbah, Iglesias Maria Jesus, Ibrahim-Kosta Manal, Goumidi Louisa, Soukarieh Omar, Proust Carole, Roux Maguelonne, Suchon Pierre, Boland Anne, Daiain Delphine, Olaso Robert, Havervall Sebastian, Thalin Charlotte, Butler Lynn, Deleuze Jean-François, Odeberg Jacob, Morange Pierre-Emmanuel, Trégouët David-Alexandre
Abstract excerpt
Venous thromboembolism is the third common cardiovascular disease and is composed of two entities, deep vein thrombosis (DVT) and its potential fatal form, pulmonary embolism (PE). While PE is observed in ~ 40% of patients with documented DVT, there is limited biomarkers that can help identifying patients at high PE risk. To fill this need, we implemented a two hidden-layers artificial neural networks (ANN) on...
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