Big data in predictive toxicology /

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Bibliographic Details
Group Author: Neagu, Daniel; Richarz, Andrea-Nicole
Published: Royal Society of Chemistry,
Publisher Address: Cambridge :
Publication Dates: [2020]
Literature type: Book
Language: English
Series: Issues in toxicology, 41
Subjects:
Carrier Form: xx, 393 pages : illustrations (some color) ; 24 cm.
Bibliography: Includes bibliographical references and index.
ISBN: 9781782622987
1782622985
Index Number: RA1193
CLC: R99-37
Call Number: R99-37/B592
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