Your browser doesn't support javascript.
loading
Data-Driven Quantitative Structure-Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral Exposure.
Chung, Elena; Russo, Daniel P; Ciallella, Heather L; Wang, Yu-Tang; Wu, Min; Aleksunes, Lauren M; Zhu, Hao.
Affiliation
  • Chung E; Department of Chemistry and Biochemistry, Rowan University, 201 Mullica Hill Road, Glassboro, New Jersey 08028, United States.
  • Russo DP; Department of Chemistry and Biochemistry, Rowan University, 201 Mullica Hill Road, Glassboro, New Jersey 08028, United States.
  • Ciallella HL; Department of Toxicology, Cuyahoga County Medical Examiner's Office, 11001 Cedar Avenue, Cleveland, Ohio 44106, United States.
  • Wang YT; Institute of Agro-Products Processing Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agro-Products Processing, Ministry of Agriculture, Beijing 100193, China.
  • Wu M; School of Life Science and Technology, China Pharmaceutical University, No. 24, Tong Jia Xiang, Nanjing 210009, China.
  • Aleksunes LM; Department of Pharmacology and Toxicology, Rutgers University, Ernest Mario School of Pharmacy, 170 Frelinghuysen Road, Piscataway, New Jersey 08854, United States.
  • Zhu H; Department of Chemistry and Biochemistry, Rowan University, 201 Mullica Hill Road, Glassboro, New Jersey 08028, United States.
Environ Sci Technol ; 57(16): 6573-6588, 2023 04 25.
Article in En | MEDLINE | ID: mdl-37040559
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Quantitative Structure-Activity Relationship Type of study: Prognostic_studies Limits: Humans Language: En Journal: Environ Sci Technol Year: 2023 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Quantitative Structure-Activity Relationship Type of study: Prognostic_studies Limits: Humans Language: En Journal: Environ Sci Technol Year: 2023 Document type: Article