Integrating Statistical and Machine-Learning Approach for Meta-Analysis of Bisphenol A-Exposure Datasets Reveals Effects on Mouse Gene Expression within Pathways of Apoptosis and Cell Survival

Integrating Statistical and Machine-Learning Approach for Meta-Analysis of Bisphenol A-Exposure Datasets Reveals Effects on Mouse Gene Expression within Pathways of Apoptosis and Cell Survival

Bisphenols are important environmental pollutants that are extensively studied due to different detrimental effects, while the molecular mechanisms behind these effects are less well understood. Like other environmental pollutants, bisphenols are being tested in various experimental models, creating...

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Bibliographic Details
Main Authors: Nina Lukashina, Michael J. Williams, Elena Kartysheva, Elizaveta Virko, Błażej Kudłak, Robert Fredriksson, Ola Spjuth, Helgi B. Schiöth
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:International Journal of Molecular Sciences
Subjects:
BPA
BPA-exposure datasets
DNA repair
cellular junction
Online Access:https://www.mdpi.com/1422-0067/22/19/10785

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https://www.mdpi.com/1422-0067/22/19/10785

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