Supplemental material
Nanotoxicology
Volume 13, 2019 - Issue 6
Related Research Data
How should the completeness and quality of curated nanomaterial data be evaluated?
Source:
Royal Society of Chemistry (RSC)
The Toxicity of Nanoparticles Depends on Multiple Molecular and Physicochemical Mechanisms.
Source:
MDPI AG
Applying quantitative structure–activity relationship approaches to nanotoxicology: Current status and future potential
Source:
Elsevier BV
The Toxicity of Nanoparticles to Human Endothelial Cells.
Source:
Springer International Publishing
Network Analysis Reveals Similar Transcriptomic Responses to Intrinsic Properties of Carbon Nanomaterials in Vitro and in Vivo
Source:
American Chemical Society (ACS)
Enriching Nanomaterials Omics Data: An Integration Technique to Generate Biological Descriptors
Source:
Wiley
Machine learning and systems genomics approaches for multi-omics data
Source:
Springer Nature
Computational Tool for Risk Assessment of Nanomaterials: Novel QSTR-Perturbation Model for Simultaneous Prediction of Ecotoxicity and Cytotoxicity of Uncoated and Coated Nanoparticles under Multiple Experimental Conditions
Source:
American Chemical Society (ACS)
Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility
Source:
Oxford University Press (OUP)
Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics
Source:
Figshare
Integrating toxicogenomics into human health risk assessment: Lessons learned from the benzo[a]pyrene case study
Source:
Informa UK Limited
Multi-walled carbon nanotube-induced gene expression in vitro : Concordance with in vivo studies
Source:
Elsevier BV
Pharmacokinetics and biodistribution of nanoparticles.
Source:
American Chemical Society (ACS)
Towards optimization of chemical testing under REACH: A Bayesian network approach to Integrated Testing Strategies
Source:
Elsevier BV
SMOTE: Synthetic Minority Over-sampling Technique
Source:
AI Access Foundation
Integration of metabolomics and transcriptomics in nanotoxicity studies.
Source:
Korean Society for Biochemistry and Molecular Biology - BMB Reports
Toxicoproteomics: New paradigms in toxicology research
Source:
Informa UK Limited
Computer-aided nanotoxicology: assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach
Source:
Royal Society of Chemistry (RSC)
Intracellular Signal Modulation by Nanomaterials
Source:
Springer Netherlands
Feature selection for Bayesian network classifiers using the MDL-FS score
Source:
Elsevier BV
Modelling and predicting the biological effects of nanomaterials
Source:
Informa UK Limited
Manipulation of in Vitro Angiogenesis Using Peptide-Coated Gold Nanoparticles
Source:
American Chemical Society (ACS)
Multi-omics approaches to disease
Source:
Springer Nature
Correlation Based Feature Selection (CFS) Technique to Predict Student Perfromance
Source:
Academy and Industry Research Collaboration Center (AIRCC)
Toward a systematic exploration of nano-bio interactions
Source:
Elsevier BV
In vitro approaches to assess the hazard of nanomaterials
Source:
Elsevier BV
Advancing Dose–Response Assessment Methods for Environmental Regulatory Impact Analysis: A Bayesian Belief Network Approach Applied to Inorganic Arsenic
Source:
American Chemical Society (ACS)
Toxicogenomics of AgNPs in HepG2 cells
Source:
Wiley
Nano-risk Science: application of toxicogenomics in an adverse outcome pathway framework for risk assessment of multi-walled carbon nanotubes
Source:
Springer Nature
Application of Bayesian networks for hazard ranking of nanomaterials to support human health risk assessment
Source:
Informa UK Limited
Gold nanoparticles: recent aspects for human toxicology
Source:
Springer Nature
Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood
Source:
Springer Nature
Using Bayesian networks to analyze expression data
Source:
Mary Ann Liebert Inc
Challenges in biomarker discovery: combining expert insights with statistical analysis of complex omics data
Source:
Informa Healthcare
Artificial Neural Networks: An Introduction
Source:
SPIE
Health Concerns of Various Nanoparticles: A Review of Their in Vitro and in Vivo Toxicity
Source:
MDPI AG
CompNanoTox2015: novel perspectives from a European conference on computational nanotoxicology on predictive nanotoxicology
Source:
Informa UK Limited
A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimer׳s disease and mild cognitive impairment
Source:
Elsevier BV
The power of OMICs
Source:
Elsevier BV
Applying 'omics technologies in chemicals risk assessment: Report of an ECETOC workshop
Source:
Elsevier BV
Characterization of Translocation of Silver Nanoparticles and Effects on Whole-Genome Gene Expression Using an In Vitro Intestinal Epithelium Coculture Model
Source:
American Chemical Society (ACS)
Computational modeling in nanomedicine: prediction of multiple antibacterial profiles of nanoparticles using a quantitative structure-activity relationship perturbation model
Source:
Future Medicine Ltd
Global transcriptomic analysis of model human cell lines exposed to surface-modified gold nanoparticles: the effect of surface chemistry
Source:
Royal Society of Chemistry (RSC)
Physicochemical characteristics of nanomaterials that affect pulmonary inflammation
Source:
Springer Nature
Predictive Protein Toxicity and Its Use in Risk Assessment
Source:
Elsevier BV
In vitro toxicity of silver nanoparticles at noncytotoxic doses to HepG2 human hepatoma cells.
Source:
American Chemical Society (ACS)
Cross-Platform Toxicogenomics for the Prediction of Non-Genotoxic Hepatocarcinogenesis in Rat
Source:
Public Library of Science (PLoS)
Toxicological studies on silver nanoparticles: challenges and opportunities in assessment, monitoring and imaging
Source:
Future Medicine Ltd
Toxicogenomic Responses of Nanotoxicity in Daphnia magna Exposed to Silver Nitrate and Coated Silver Nanoparticles
Source:
American Chemical Society (ACS)
A Tractable Method for Measuring Nanomaterial Risk Using Bayesian Networks
Source:
Springer Nature
The Adverse Outcome Pathway approach in nanotoxicology
Source:
Elsevier BV
Omics Technologies, Data and Bioinformatics Principles
Source:
Humana Press
Recent progress toward antiangiogenesis application of nanomedicine in cancer therapy
Source:
Future Science Ltd
On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks
Source:
Elsevier BV
ZETA POTENTIAL AND SOLUBILITY TO TOXIC IONS AS MECHANISMS OF LUNG INFLAMMATION CAUSED BY METAL/METAL-OXIDE NANOPARTICLES
Source:
Oxford University Press (OUP)
Entropy-based information gain approaches to detect and to characterize gene-gene and gene-environment interactions/correlations of complex diseases
Source:
Wiley-Blackwell
On the pivotal role of dose for particle toxicology and risk assessment: exposure is a poor surrogate for delivered dose
Source:
Springer Nature
Physiologically Based Pharmacokinetic Modeling for Nanoparticle Toxicity Study
Source:
Humana Press
Pharmacokinetics of nanomaterials: an overview of carbon nanotubes, fullerenes and quantum dots
Source:
Wiley
Hazard and risk assessment strategies for nanoparticle exposures: how far have we come in the past 10 years?
Source:
F1000 Research Ltd
Whole Genome Expression Analysis Reveals Differential Effects of TiO2Nanotubes on Vascular Cells
Source:
American Chemical Society (ACS)
Potential Links between Cytoskeletal Disturbances and Electroneurophysiological Dysfunctions Induced in the Central Nervous System by Inorganic Nanoparticles
Source:
Cell Physiol Biochem Press GmbH and Co KG
General Theory for Multiple Input-Output Perturbations in Complex Molecular Systems. 1. Linear QSPR Electronegativity Models in Physical, Organic, and Medicinal Chemistry
Source:
Bentham Science Publishers Ltd.
Towards a generalized toxicity prediction model for oxide nanomaterials using integrated data from different sources
Source:
Springer Nature
The future of toxicity testing: a focus on in vitro methods using a quantitative high-throughput screening platform
Source:
Elsevier BV
Application of Bayesian networks in determining nanoparticle-induced cellular outcomes using transcriptomics
Source:
Figshare
Computational ecotoxicology: Simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions
Source:
Elsevier BV
INVESTIGATION OF THE K2 ALGORITHM IN LEARNING BAYESIAN NETWORK CLASSIFIERS
Source:
Informa UK Limited
Comparison of the predicted and observed secondary structure of T4 phage lysozyme.
Source:
Elsevier BV
Addendum: Standardizing global gene expression analysis between laboratories and across platforms
Source:
Springer Nature
Toxicity Classification of Oxide Nanomaterials: Effects of Data Gap Filling and PChem Score-based Screening Approaches
Source:
Nature Publishing Group
Prevalidation of the ex-vivo model PCLS for prediction of respiratory toxicity
Source:
RWTH Aachen University
Prevalidation of the ex-vivo model PCLS for prediction of respiratory toxicity
Source:
RWTH Aachen University
Wrappers for feature subset selection
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