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- Q91912764 description "artículu científicu espublizáu en xunu de 2019" @default.
- Q91912764 description "scientific article published on 07 June 2019" @default.
- Q91912764 description "wetenschappelijk artikel" @default.
- Q91912764 description "наукова стаття, опублікована 7 червня 2019" @default.
- Q91912764 name "Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach" @default.
- Q91912764 name "Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach" @default.
- Q91912764 type Item @default.
- Q91912764 label "Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach" @default.
- Q91912764 label "Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach" @default.
- Q91912764 prefLabel "Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach" @default.
- Q91912764 prefLabel "Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach" @default.
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- Q91912764 P304 Q91912764-F97848B0-C062-4A2E-BC2D-715EC2960052 @default.
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- Q91912764 P356 Q91912764-31067C68-0DBB-4CFA-AF43-11400CD0B7FA @default.
- Q91912764 P433 Q91912764-C6414921-4647-4E75-8F21-EC7F5EBB9268 @default.
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- Q91912764 P921 Q91912764-D69B08BA-4430-488A-8953-E3BE7A4AE160 @default.
- Q91912764 P356 ACS.CHEMRESTOX.9B00040 @default.
- Q91912764 P698 31074622 @default.
- Q91912764 P1433 Q473530 @default.
- Q91912764 P1476 "Development of Adverse Outcome Pathway for PPARγ Antagonism Leading to Pulmonary Fibrosis and Chemical Selection for Its Validation: ToxCast Database and a Deep Learning Artificial Neural Network Model-Based Approach" @default.
- Q91912764 P2093 "Changheon Kim" @default.
- Q91912764 P2093 "Jaeseong Jeong" @default.
- Q91912764 P2093 "Ji-Yeon Roh" @default.
- Q91912764 P2093 "Lyle Burgoon" @default.
- Q91912764 P2093 "Taehyun Park" @default.
- Q91912764 P2860 Q42307037 @default.
- Q91912764 P304 "1212-1222" @default.
- Q91912764 P31 Q13442814 @default.
- Q91912764 P356 "10.1021/ACS.CHEMRESTOX.9B00040" @default.
- Q91912764 P433 "6" @default.
- Q91912764 P478 "32" @default.
- Q91912764 P50 Q42745524 @default.
- Q91912764 P50 Q88392453 @default.
- Q91912764 P50 Q89687433 @default.
- Q91912764 P577 "2019-06-07T00:00:00Z" @default.
- Q91912764 P698 "31074622" @default.
- Q91912764 P921 Q192776 @default.
- Q91912764 P921 Q197536 @default.
- Q91912764 P921 Q32446 @default.