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High-Content Screening: Understanding and Managing Mechanistic Data to Better Predict Toxicity by Hoeng, Julia; Peitsch, Manuel C. is a scholarly article available to read on EtoBox.

What is High-Content Screening: Understanding and Managing Mechanistic Data to Better Predict Toxicity about?

This detailed volume explores key state-of-the-art computational applications that are crucial in Systems Toxicology. The recent technological developments in experimental biology and multi-omics measurements that enable Systems Biology and Systems Toxicology can only be fully leveraged by the application of a broad range of computational approaches ranging from data management to mathematical modeling. Taking this into account, chapters in this book cover data management and processing, data analysis, biological network building and analysis, as well as the application of computational methods to toxicological assessment. Written for the Methods in Pharmacology and Toxicology series, Computational Systems Toxicology includes the kind of key practical advice that will aid readers in furthering our knowledge of toxic substances and reactions to them

Author

Hoeng, Julia; Peitsch, Manuel C.

Publisher

Springer New York Imprint : Humana Press

Published

2015

Language

EN

ISBN

9781493927784