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Computational Toxicology

Overview of attention for book
Cover of 'Computational Toxicology'

Table of Contents

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    Book Overview
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    Chapter 1 Methods for Building QSARs
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    Chapter 2 Accessing and Using Chemical Databases
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    Chapter 3 From QSAR to QSIIR: Searching for Enhanced Computational Toxicology Models
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    Chapter 4 Mutagenicity, Carcinogenicity, and Other End points
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    Chapter 5 Classification Models for Safe Drug Molecules
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    Chapter 6 QSAR and Metabolic Assessment Tools in the Assessment of Genotoxicity
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    Chapter 7 Gene Expression Networks
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    Chapter 8 Construction of Cell Type-Specific Logic Models of Signaling Networks Using CellNOpt.
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    Chapter 9 Regulatory Networks
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    Chapter 10 Computational Reconstruction of Metabolic Networks from KEGG
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    Chapter 11 Biomarkers
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    Chapter 12 Biomonitoring-based Environmental Public Health Indicators.
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    Chapter 13 Modeling for Regulatory Purposes (Risk and Safety Assessment)
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    Chapter 14 Developmental Toxicity Prediction
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    Chapter 15 Predictive Computational Toxicology to Support Drug Safety Assessment
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    Chapter 16 Developing a Practical Toxicogenomics Data Analysis System Utilizing Open-Source Software
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    Chapter 17 Systems Toxicology from Genes to Organs
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    Chapter 18 Agent-Based Models of Cellular Systems
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    Chapter 19 Linear Algebra
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    Chapter 20 Ordinary Differential Equations
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    Chapter 21 On the Development and Validation of QSAR Models
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    Chapter 22 Principal Components Analysis
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    Chapter 23 Partial Least Squares Methods: Partial Least Squares Correlation and Partial Least Square Regression
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    Chapter 24 Maximum Likelihood
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    Chapter 25 Bayesian Inference
Overall attention for this book and its chapters
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Mentioned by

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1 blog
policy
1 policy source
wikipedia
1 Wikipedia page

Citations

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24 Dimensions

Readers on

mendeley
134 Mendeley
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Title
Computational Toxicology
Published by
Humana Press, October 2012
DOI 10.1007/978-1-62703-059-5
ISBNs
978-1-62703-058-8, 978-1-62703-059-5
Editors

Reisfeld, Brad, Mayeno, Arthur N.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Unknown 133 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 13%
Student > Master 15 11%
Researcher 12 9%
Student > Bachelor 10 7%
Student > Doctoral Student 5 4%
Other 19 14%
Unknown 55 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 8%
Chemistry 10 7%
Pharmacology, Toxicology and Pharmaceutical Science 9 7%
Engineering 7 5%
Business, Management and Accounting 6 4%
Other 31 23%
Unknown 60 45%