On the public citation graph

Comparative Analysis of Predictive Models for Nongenotoxic Hepatocarcinogenicity Using Both Toxicogenomics and Quantitative Structure–Activity Relationships

0 signed · 73 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/jat.1248openalex-snapshot
Toxicogenomics: a pivotal piece in the puzzle of toxicological research
inferredcites →https://doi.org/10.1002/mc.20205openalex-snapshot
Predictive toxicogenomics approaches reveal underlying molecular mechanisms of nongenotoxic carcinogenicity
inferredcites →https://doi.org/10.1002/path.2784openalex-snapshot
The role of mutant p53 in human cancer
inferredcites →https://doi.org/10.1007/s10549-007-9618-4openalex-snapshot
Estrogen receptors outside the nucleus in breast cancer
inferredcites →https://doi.org/10.1016/j.bmc.2007.11.029openalex-snapshot
QSAR modeling of the rodent carcinogenicity of nitrocompounds
inferredcites →https://doi.org/10.1016/j.gde.2006.12.002openalex-snapshot
Roles of G-protein-coupled receptor signaling in cancer biology and gene transcription
inferredcites →https://doi.org/10.1016/j.mrfmmm.2007.06.010openalex-snapshot
Prediction of a carcinogenic potential of rat hepatocarcinogens using toxicogenomics analysis of short-term in vivo studies
inferredcites →https://doi.org/10.1016/j.taap.2006.09.008openalex-snapshot
Differences in gene expression profiles in the liver between carcinogenic and non-carcinogenic isomers of compounds given to rats in a 28-day repeat-dose toxicity study
inferredcites →https://doi.org/10.1016/j.taap.2009.11.021openalex-snapshot
Predicting the hepatocarcinogenic potential of alkenylbenzene flavoring agents using toxicogenomics and machine learning
inferredcites →https://doi.org/10.1016/j.tibtech.2005.04.006openalex-snapshot
Toxicity testing: creating a revolution based on new technologies
inferredcites →https://doi.org/10.1016/j.tox.2008.05.013openalex-snapshot
A toxicogenomics approach for early assessment of potential non-genotoxic hepatocarcinogenicity of chemicals in rats
inferredcites →https://doi.org/10.1016/j.yrtph.2007.07.001openalex-snapshot
Comparison of MC4PC and MDL-QSAR rodent carcinogenicity predictions and the enhancement of predictive performance by combining QSAR models
inferredcites →https://doi.org/10.1016/s0027-5107(01)00292-5openalex-snapshot
Toxicology and genetic toxicology in the new era of “toxicogenomics”: impact of “-omics” technologies
inferredcites →https://doi.org/10.1016/s0027-5107(98)00068-2openalex-snapshot
Structure-based methods for predicting mutagenicity and carcinogenicity: are we there yet?
inferredcites →https://doi.org/10.1021/ci800038fopenalex-snapshot
Mold2, Molecular Descriptors from 2D Structures for Chemoinformatics and Toxicoinformatics
inferredcites →https://doi.org/10.1021/es061677aopenalex-snapshot
Are There Other Persistent Organic Pollutants? A Challenge for Environmental Chemists
inferredcites →https://doi.org/10.1021/jm00326a002openalex-snapshot
Substituent Constants for Aliphatic Functions Obtained from Partition Coefficients
inferredcites →https://doi.org/10.1021/tx000208yopenalex-snapshot
Structure−Activity Relationships for a Large Diverse Set of Natural, Synthetic, and Environmental Estrogens
inferredcites →https://doi.org/10.1038/msb.2008.9openalex-snapshot
The liver pharmacological and xenobiotic gene response repertoire
inferredcites →https://doi.org/10.1080/01926230590888298openalex-snapshot
Differential Display in Rat Livers Treated for 13 Weeks with Phenobarbital Implicates a Role for Metabolic and Oxidative Stress in Nongenotoxic Carcinogenicity
inferredcites →https://doi.org/10.1080/10629360290002235openalex-snapshot
An integrated "4-phase" approach for setting endocrine disruption screening priorities--phase I and II predictions of estrogen receptor binding affinity
inferredcites →https://doi.org/10.1080/10629360310001623962openalex-snapshot
Comparative molecular field analysis (CoMFA) model using a large diverse set of natural, synthetic and environmental chemicals for binding to the androgen receptor
inferredcites →https://doi.org/10.1080/15287390490471479openalex-snapshot
BUILDING AN ORGAN-SPECIFIC CARCINOGENIC DATABASE FOR SAR ANALYSES
inferredcites →https://doi.org/10.1080/15287390701432277openalex-snapshot
Study of Mutagenicities of Phthalic Acid and Terephthalic Acid Using In Vitro and In Vivo Genotoxicity Tests
inferredcites →https://doi.org/10.1089/106652702760138592openalex-snapshot
A Paradigm for Class Prediction Using Gene Expression Profiles
inferredcites →https://doi.org/10.1093/carcin/22.1.171openalex-snapshot
Aryl hydrocarbon receptor signaling plays a significant role in mediating benzo[a]pyrene- and cigarette smoke condensate-induced cytogenetic damage in vivo
inferredcites →https://doi.org/10.1093/carcin/bgi135openalex-snapshot
The role of the cytoskeleton in differentially regulating pressure-mediated effects on malignant colonocyte focal adhesion signaling and cell adhesion
inferredcites →https://doi.org/10.1093/mutage/6.5.423openalex-snapshot
QSAR prediction of rodent carcinogenicity for a set of chemicals currently bioassayed by the US National Toxicology Program
inferredcites →https://doi.org/10.1093/toxsci/56.1.8openalex-snapshot
The Practice of Structure Activity Relationships (SAR) in Toxicology
inferredcites →https://doi.org/10.1093/toxsci/kfh293openalex-snapshot
Human Carcinogenic Risk Evaluation, Part V: The National Toxicology Program Vision for Assessing the Human Carcinogenic Hazard of Chemicals
inferredcites →https://doi.org/10.1093/toxsci/kfi161openalex-snapshot
Supplement to the Carcinogenic Potency Database (CPDB): Results of Animal Bioassays Published in the General Literature through 1997 and by the National Toxicology Program in 1997–1998
inferredcites →https://doi.org/10.1093/toxsci/kfm156openalex-snapshot
A Gene Expression Biomarker Provides Early Prediction and Mechanistic Assessment of Hepatic Tumor Induction by Nongenotoxic Chemicals
inferredcites →https://doi.org/10.1126/science.760206openalex-snapshot
The Salmonella Mutagenicity Assay: Recommendations
inferredcites →https://doi.org/10.1142/s0219720005001004openalex-snapshot
MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATA
inferredcites →https://doi.org/10.1186/1752-153x-4-s1-s3openalex-snapshot
New public QSAR model for carcinogenicity
inferredcites →https://doi.org/10.1289/ehp.0211029openalex-snapshot
Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alerts.
inferredcites →https://doi.org/10.1289/ehp.6709openalex-snapshot
The utility of DNA microarrays for characterizing genotoxicity.
inferredcites →https://doi.org/10.1289/ehp.8194openalex-snapshot
Recent Applications of DNA Microarray Technology to Toxicology and Ecotoxicology
inferredcites →https://doi.org/10.1289/ehp.8318openalex-snapshot
Workgroup Report: Review of Genomics Data Based on Experience with Mock Submissions—View of the CDER Pharmacology Toxicology Nonclinical Pharmacogenomics Subcommittee
inferredcites →https://doi.org/10.1517/14622416.6.4.419openalex-snapshot
Gene Expression Profile Analysis: An Emerging Approach to Investigate Mechanisms of Genotoxicity
inferredcites →https://doi.org/10.17877/de290r-8430openalex-snapshot
Statistical analysis of genotype and gene expression data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/minf.201200086openalex-snapshot
Determination of the Potential of Drug Candidates to Cause Severe Skin Disorders Using Computational Modeling
inferred← citeshttps://doi.org/10.1007/978-3-030-16443-0_9openalex-snapshot
A Pair Ranking (PRank) Method for Assessing Assay Transferability Among the Toxicogenomics Testing Systems
inferred← citeshttps://doi.org/10.1007/978-3-319-09192-1_1openalex-snapshot
Acquiring Decision Rules for Predicting Ames-Negative Hepatocarcinogens Using Chemical-Chemical Interactions
inferred← citeshttps://doi.org/10.1007/978-3-642-39159-0_21openalex-snapshot
Prediction of Non-genotoxic Hepatocarcinogenicity Using Chemical-Protein Interactions
inferred← citeshttps://doi.org/10.1007/s00204-019-02613-4openalex-snapshot
Toxicity testing in the 21st century: progress in the past decade and future perspectives
inferred← citeshttps://doi.org/10.1016/b978-0-12-394591-4.00007-6openalex-snapshot
Potential of ‘Omics’ Technologies for Implementation in Research on Phytotherapeutical Toxicology
inferred← citeshttps://doi.org/10.1016/b978-0-12-397862-2.00002-4openalex-snapshot
Application of In Vivo Genomics to the Prediction of Chemical-Induced (hepato)Carcinogenesis
inferred← citeshttps://doi.org/10.1016/b978-0-443-15339-6.00030-8openalex-snapshot
Centralized data sources and QSAR methods for the prediction of idiosyncratic adverse drug reaction
inferred← citeshttps://doi.org/10.1016/j.comtox.2020.100147openalex-snapshot
Extrapolation of drug induced liver injury responses from cancer cell lines using machine learning approaches
inferred← citeshttps://doi.org/10.1016/j.envpol.2025.127519openalex-snapshot
Toxicophore-informed machine learning integrating Tox21 assay readouts for organ system–specific carcinogenicity prediction
inferred← citeshttps://doi.org/10.1016/j.fct.2013.08.020openalex-snapshot
Evaluation of the utility of the lifetime mouse bioassay in the identification of cancer hazards for humans
inferred← citeshttps://doi.org/10.1016/j.neucom.2014.05.073openalex-snapshot
Interpretable prediction of non-genotoxic hepatocarcinogenic chemicals
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.2c00381openalex-snapshot
Assessment of Drug-Induced Liver Injury through Cell Morphology and Gene Expression Analysis
inferred← citeshttps://doi.org/10.1021/acsestwater.3c00350openalex-snapshot
In Vitro Biodescriptors Derived from Time Series Toxicogenomics Data in In Silico QSAR Improve the Phenotypic Toxicity Prediction
inferred← citeshttps://doi.org/10.1038/srep41176openalex-snapshot
Identification of consensus biomarkers for predicting non-genotoxic hepatocarcinogens
inferred← citeshttps://doi.org/10.1093/jamia/ocv127openalex-snapshot
Cheminformatics-aided pharmacovigilance: application to Stevens-Johnson Syndrome
inferred← citeshttps://doi.org/10.1093/toxsci/kfs095openalex-snapshot
Predictive Modeling of Chemical Hazard by Integrating Numerical Descriptors of Chemical Structures and Short-term Toxicity Assay Data
inferred← citeshttps://doi.org/10.1093/toxsci/kfs159openalex-snapshot
A Comprehensive Statistical Analysis of Predicting In Vivo Hazard Using High-Throughput In Vitro Screening
inferred← citeshttps://doi.org/10.1093/toxsci/kfu248openalex-snapshot
Identification of Specific mRNA Signatures as Fingerprints for Carcinogenesis in Mice Induced by Genotoxic and Nongenotoxic Hepatocarcinogens
inferred← citeshttps://doi.org/10.1186/s43556-026-00498-1openalex-snapshot
Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation
inferred← citeshttps://doi.org/10.1289/ehp.1104782openalex-snapshot
Wind of Change Challenges Toxicological Regulators
inferred← citeshttps://doi.org/10.1371/journal.pone.0073938openalex-snapshot
A Toxicogenomic Approach for the Prediction of Murine Hepatocarcinogenesis Using Ensemble Feature Selection
inferred← citeshttps://doi.org/10.1371/journal.pone.0097640openalex-snapshot
Cross-Platform Toxicogenomics for the Prediction of Non-Genotoxic Hepatocarcinogenesis in Rat
inferred← citeshttps://doi.org/10.14573/altex.1610201openalex-snapshot
In vitro to in vivo extrapolation for drug-induced liver injury using a pair ranking method
inferred← citeshttps://doi.org/10.14573/altex.1610201sopenalex-snapshot
In vitro to in vivo extrapolation for drug-induced liver injury using a pair ranking method_suppl
inferred← citeshttps://doi.org/10.1787/9789264274792-enopenalex-snapshot
Fundamental And Guiding Principles For (Q)SAR Analysis Of Chemical Carcinogens with Mechanistic Considerations
inferred← citeshttps://doi.org/10.3109/15376516.2015.1007541openalex-snapshot
A critical assessment of the methodologies to investigate the role of inhibition of apoptosis in rodent hepatocarcinogenesis
inferred← citeshttps://doi.org/10.3389/fgene.2018.00074openalex-snapshot
Transcriptional Responses Reveal Similarities Between Preclinical Rat Liver Testing Systems
inferred← citeshttps://doi.org/10.3389/frai.2021.757780openalex-snapshot
DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level Representation
inferred← citeshttps://doi.org/10.3390/ijerph17124298openalex-snapshot
Identification of Time-Invariant Biomarkers for Non-Genotoxic Hepatocarcinogen Assessment
inferred← citeshttps://doi.org/10.3390/ijms151019037openalex-snapshot
ToxDBScan: Large-Scale Similarity Screening of Toxicological Databases for Drug Candidates
inferred← citeshttps://doi.org/10.4172/2153-0645.s7-001openalex-snapshot
Toxicogenomics Investigation Under the eTOX Project
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.