Transcriptomics in Toxicogenomics, Part III: Data Modelling for Risk Assessment

Transcriptomics in Toxicogenomics, Part III: Data Modelling for Risk Assessment

Transcriptomics data are relevant to address a number of challenges in Toxicogenomics (TGx). After careful planning of exposure conditions and data preprocessing, the TGx data can be used in predictive toxicology, where more advanced modelling techniques are applied. The large volume of molecular pr...

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Bibliographic Details
Main Authors: Angela Serra, Michele Fratello, Luca Cattelani, Irene Liampa, Georgia Melagraki, Pekka Kohonen, Penny Nymark, Antonio Federico, Pia Anneli Sofia Kinaret, Karolina Jagiello, My Kieu Ha, Jang-Sik Choi, Natasha Sanabria, Mary Gulumian, Tomasz Puzyn, Tae-Hyun Yoon, Haralambos Sarimveis, Roland Grafström, Antreas Afantitis, Dario Greco
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Nanomaterials
Subjects:
toxicogenomics
transcriptomics
data modelling
benchmark dose analysis
network analysis
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Online Access:https://www.mdpi.com/2079-4991/10/4/708

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https://www.mdpi.com/2079-4991/10/4/708

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