Big Data in Predictive Toxicology

This book PDF is perfect for those who love Medical genre, written by Daniel Neagu and published by Royal Society of Chemistry which was released on 04 December 2019 with total hardcover pages 289. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Big Data in Predictive Toxicology books below.

Big Data in Predictive Toxicology
Big Data in Predictive Toxicology
Author : Daniel Neagu
File Size : 54,9 Mb
Publisher : Royal Society of Chemistry
Language : English
Release Date : 04 December 2019
ISBN : 9781839160820
Pages : 289 pages
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Big Data in Predictive Toxicology by Daniel Neagu 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.

Big Data in Predictive Toxicology

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Get Book
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