Big data in predictive toxicology /
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge :
Royal Society of Chemistry,
[2020]
|
| Series: | Issues in toxicology ;
41. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
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