Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics-Reference-Cited by-同舟云学术

Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics

Published:2019-05-29 Issue:6 Volume:13 Page:827-848
ISSN:1743-5390
Container-title:Nanotoxicology
language:en
Short-container-title:Nanotoxicology

Author:

Furxhi Irini¹,Murphy Finbarr¹,Poland Craig A.²,Sheehan Barry¹,Mullins Martin¹,Mantecca Paride³

Affiliation:

1. Department of Accounting and Finance, Kemmy Business School University of Limerick, Limerick, Ireland;

2. ELEGI/Colt Laboratory, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, Scotland;

3. Department of Earth and Environmental Sciences, Particulate Matter and Health Risk (POLARIS) Research Centre University of Milano Bicocca, Milano, Italy

Funder

European Union’s Horizon 2020 research and innovation program

Colt Foundation

H2020 Innovation In SMEs

Publisher

Informa UK Limited

Subject

Toxicology,Biomedical Engineering

Link

https://tandfonline.com/doi/pdf/10.1080/17435390.2019.1595206

Reference121 articles.

1. An application of bayesian analysis to medical follow-up data

2. A Review of Cell Adhesion Studies for Biomedical and Biological Applications

3. Health Concerns of Various Nanoparticles: A Review of Their in Vitro and in Vivo Toxicity

4. Toward a systematic exploration of nano-bio interactions

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