Big data in predictive toxicology /
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| Imprint: | Cambridge : Royal Society of Chemistry, 2018. |
|---|---|
| Description: | 1 online resource (1 volume) |
| Language: | English |
| Series: | Issues in toxicology ; 41 Issues in toxicology ; 41. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12402194 |
Table of Contents:
- Big Data in Predictive Toxicology
- Challenges, Opportunities and Perspectives; Biological Data in the Light of Toxicological Risk Assessment; Chemoinformatics Representation of Chemical Structures
- A Milestone for Successful Big Data Modelling in Predictive Toxicology; Organisation of Toxicological Data in Databases; Making Big Data Available: Integrating Technologies for Toxicology Applications; Storing and Using Qualitative and Quantitative Structure-Activity Relationships in the Era of Toxicological and Chemical Data Expansion; Toxicogenomics and Toxicoinformatics: Supporting Systems Biology in the Big Data Era; Profiling the Tox21 Chemical Library for Environmental Hazards: Applications in Prioritisation, Predictive Modelling, and Mechanism of Toxicity Characterisation; Big Data Integration and Inference; Chemometrical Analysis of Proteomics Data; Big Data and Biokinetics; Role of Toxicological Big Data to Support Read-Across for the Assessment of Chemicals