Technology and Code
Published on 27 Jun 2023
Tox21Enricher-Shiny: an R Shiny application for toxicity functional annotation analysis
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2023.1147608
- 3,658 views
Type at least 3 characters
36 articles
Articles
Perspective
Published on 26 May 2023
Navigating the bridge between wet and dry lab toxicology research to address current challenges with high-dimensional data
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2023.1171175
- 1,659 views
- 3 citations
Original Research
Published on 18 Jan 2023
Identifying xenobiotic metabolites with in silico prediction tools and LCMS suspect screening analysis
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2023.1051483
- 4,109 views
- 8 citations
Original Research
Published on 04 Jan 2023
Gene expression profiling after exposure to a chemical carcinogen, Pentabrominated Diphenyl Ether, at different life stages
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2022.1028309
- 1,376 views
- 1 citation
Perspective
Published on 03 Nov 2022
Data curation to support toxicity assessments using the Integrated Chemical Environment
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2022.987848
- 3,041 views
- 14 citations
Original Research
Published on 20 Sep 2022
Novel machine learning models to predict endocrine disruption activity for high-throughput chemical screening
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2022.981928
- 2,668 views
- 7 citations
Original Research
Published on 25 Aug 2022
Concentration-response gene expression analysis in zebrafish reveals phenotypically-anchored transcriptional responses to retene
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2022.950503
- 2,633 views
- 9 citations
Technology and Code
Published on 22 Jun 2022
Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2022.893924
- 4,104 views
- 6 citations
Perspective
Published on 21 Jun 2022
Impact of Established and Emerging Software Tools on the Metabolite Identification Landscape
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2022.932445
- 3,981 views
- 2 citations
Editorial
Published on 28 Apr 2022
Editorial: Advances and Refinements in the Development and Application of Threshold of Toxicological Concern
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2022.882321
- 3,454 views
- 3 citations
Original Research
Published on 11 Mar 2022
Implementation of Zebrafish Ontologies for Toxicology Screening
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2022.817999
- 3,984 views
- 5 citations
Brief Research Report
Published on 14 Feb 2022
The AOP-DB RDF: Applying FAIR Principles to the Semantic Integration of AOP Data Using the Research Description Framework
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2022.803983
- 2,995 views
- 8 citations
Original Research
Published on 24 Jun 2021
Threshold of Toxicological Concern—An Update for Non-Genotoxic Carcinogens
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2021.688321
- 9,732 views
- 10 citations
Original Research
Published on 23 Mar 2021
Development of a New Threshold of Toxicological Concern Database of Non-cancer Toxicity Endpoints for Industrial Chemicals
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2021.626543
- 4,683 views
- 7 citations
Review
Published on 19 Mar 2021
Application of the Threshold of Toxicological Concern (TTC) in Food Safety: Challenges and Opportunities
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2021.655951
- 9,302 views
- 7 citations
Original Research
Published on 16 Mar 2021
Discriminating Spontaneous From Cigarette Smoke and THS 2.2 Aerosol Exposure-Related Proliferative Lung Lesions in A/J Mice by Using Gene Expression and Mutation Spectrum Data
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2021.634035
- 4,300 views
- 1 citation