Big Data in Predictive Toxicology is popular PDF and ePub book, written by Daniel Neagu in 2019-12-04, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Big Data in Predictive Toxicology can be Read Online from any device for your convenience.
Big Data in Predictive Toxicology Book PDF Summary
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.
Detail Book of Big Data in Predictive Toxicology PDF
- Author : Daniel Neagu
- Release : 04 December 2019
- Publisher : Royal Society of Chemistry
- ISBN : 9781839160820
- Genre : Medical
- Total Page : 303 pages
- Language : English
- PDF File Size : 21,7 Mb
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