Big data in predictive toxicology /

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Bibliographic Details
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
Hidden Bibliographic Details
Other authors / contributors:Neagu, Daniel, author.
Richarz, Andrea-Nicole, author
ISBN:9781839160820
1839160829
9781782623656
1782623655
9781782622987
1782622985
Notes:Online resource; title from PDF title page (EBSCO, viewed December 26, 2019)
Other form:Print version: BIG DATA IN PREDICTIVE TOXICOLOGY. CAMBRIDGE : ROYAL SOC OF CHEMISTRY, 2018 1782622985

MARC

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505 0 |a 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 
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