Big Data in Predictive Toxicology Hardback
Edited by Daniel (University of Bradford, UK) Neagu, Andrea-Nicole (European Commission - Joint Research Centre, Italy) Richarz
Part of the Issues in Toxicology series
Hardback
Description
The rate at which toxicological data is generated is continually becoming more rapid and the volume of data generated is growing dramatically.
This is due in part to advances in software solutions and cheminformatics approaches which increase the availability of open data from chemical, biological and toxicological and high throughput screening resources.
However, the amplified pace and capacity of data generation achieved by these novel techniques presents challenges for organising and analysing data output. Big Data in Predictive Toxicology discusses these challenges as well as the opportunities of new techniques encountered in data science.
It addresses the nature of toxicological big data, their storage, analysis and interpretation.
It also details how these data can be applied in toxicity prediction, modelling and risk assessment.
This title is of particular relevance to researchers and postgraduates working and studying in the fields of computational methods, applied and physical chemistry, cheminformatics, biological sciences, predictive toxicology and safety and hazard assessment.
Information
-
Out of stock
- Format:Hardback
- Pages:394 pages, No
- Publisher:Royal Society of Chemistry
- Publication Date:10/12/2019
- Category:
- ISBN:9781782622987
Information
-
Out of stock
- Format:Hardback
- Pages:394 pages, No
- Publisher:Royal Society of Chemistry
- Publication Date:10/12/2019
- Category:
- ISBN:9781782622987
