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Deciphering exogenous chemical carcinogenicity through interpretable deep learning: A novel approach for evaluating atmospheric pollutant hazards

Huazhou Zhang, Hang Yi, Yuxing Hao, Lu Zhao, Wenxiao Pan, Qiao Xue, Xian Liu, Jianjie Fu, Aiqian Zhang, Aiqian Zhang

2023Journal of Hazardous Materials13 citationsDOI

Topics & Concepts

InterpretabilityPollutantRisk assessmentInternational agencyEnvironmental scienceCarcinogenBiochemical engineeringComputer scienceRisk analysis (engineering)Artificial intelligenceEngineeringMedicineBiologyEcologyComputer securityGeneticsAir Quality Monitoring and ForecastingAir Quality and Health ImpactsComputational Drug Discovery Methods
Deciphering exogenous chemical carcinogenicity through interpretable deep learning: A novel approach for evaluating atmospheric pollutant hazards | Litcius