A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based Validation

A Qualitative Modeling Approach for Whole Genome Prediction Using High-Throughput Toxicogenomics Data and Pathway-Based Validation

Efficient high-throughput transcriptomics (HTT) tools promise inexpensive, rapid assessment of possible biological consequences of human and environmental exposures to tens of thousands of chemicals in commerce. HTT systems have used relatively small sets of gene expression measurements coupled with...

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Bibliographic Details
Main Authors: Saad Haider, Michael B. Black, Bethany B. Parks, Briana Foley, Barbara A. Wetmore, Melvin E. Andersen, Rebecca A. Clewell, Kamel Mansouri, Patrick D. McMullen
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-10-01
Series:Frontiers in Pharmacology
Subjects:
cellular mode-of-action
predictive toxicology
whole genome prediction
high-throughput toxicogenomics
pathway enrichment analysis
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2018.01072/full

Internet

https://www.frontiersin.org/article/10.3389/fphar.2018.01072/full

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