Mini Review
Published on 19 Jan 2024
Computational models for predicting liver toxicity in the deep learning era
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2023.1340860
- 180 views
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25 articles
Articles
Original Research
Published on 17 Nov 2023
Mining toxicogenomic data for dose-responsive pathways: implications in advancing next-generation risk assessment
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2023.1272364
- 779 views
Original Research
Published on 21 Sep 2023
The ToxCast pipeline: updates to curve-fitting approaches and database structure
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2023.1275980
- 2,183 views
Mini Review
Published on 11 Sep 2023
ToxRefDB v2.1: update to curated in vivo study data in the Toxicity Reference Database
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2023.1260305
- 869 views
Correction
Published on 24 Aug 2023
Corrigendum: Tox21Enricher-Shiny: an R Shiny application for toxicity functional annotation analysis
in Computational Toxicology and Informatics
Frontiers in Toxicology
doi 10.3389/ftox.2023.1278066
- 314 views
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
- 1,534 views
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
- 769 views
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
- 2,603 views
- 3 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
- 870 views
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
- 1,918 views
- 4 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
- 1,699 views
- 2 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
- 1,728 views
- 4 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
- 2,699 views
- 4 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
- 2,936 views
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
- 2,796 views
- 1 citation
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
- 3,049 views
- 3 citations