Article

An artificial neural network approach integrating plasma proteomics and genetic data identifies <i>PLXNA4</i> as a new susceptibility locus for pulmonary embolism

2020-10-06

Abstract excerpt

Venous thromboembolism is the third common cardiovascular disease and is composed of two entities, deep vein thrombosis (DVT) and its 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 376 antibodies...

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Literature Corpus work: 7899bf19-bf49-5a8f-a460-29df6269e447
DOI: 10.1101/2020.10.05.20207001

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