SYNTHETIC DATA GENERATION WITH PROBABILISTIC BAYESIAN NETWORKS

Synthetic data generation with probabilistic Bayesian Networks

Bayesian Network (BN) modeling is a prominent and increasingly popular computational systems biology method.It aims to construct network graphs from the large heterogeneous biological datasets that Stoppers reflect the underlying biological relationships.Currently, a variety of strategies exist for evaluating BN methodology performance, ranging fro

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Extracellular vesicles derived from human dental mesenchymal stem cells stimulated with low-intensity pulsed ultrasound alleviate inflammation-induced bone loss in a mouse model of periodontitis

Extracellular vesicles (EVs) derived from mesenchymal stem cells (MSCs) have emerged as a new mode of intercellular crosstalk and are responsible for many of the therapeutic effects of MSCs.To promote the application of MSC-EVs, recent studies have focused on the manipulation of MSCs to improve the production of EVs and EV-mediated activities.The c

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