المؤلفون: Jeremy Feinstein (11836208), Ganesh Sivaraman (7531928), Kurt Picel (11836211), Brian Peters (1636015), Álvaro Vázquez-Mayagoitia (2313646), Arvind Ramanathan (198127), Margaret MacDonell (11836214), Ian Foster (1844626), Eugene Yan (2052451)

مصطلحات موضوعية: Biochemistry, Microbiology, Genetics, Ecology, Inorganic Chemistry, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, widespread industrial uses, substantial resources required, publicly available datasets, increasingly diverse inventory, including random forests, including 8163 chemicals, defined chemical structure, deep neural networks, calibrated cutoff rate, study predicts toxicity, predicting acute toxicity, human toxicity potential, environmental protection agency, performing source model, oral rat ld, high uncertainty using, 50 , vivo toxicity experiments, inform prediction confidence, vivo experiments, toxicity information, greater confidence

Relation: https://figshare.com/articles/journal_contribution/Uncertainty-Informed_Deep_Transfer_Learning_of_Perfluoroalkyl_and_Polyfluoroalkyl_Substance_Toxicity/17198951

الاتاحة: https://doi.org/10.1021/acs.jcim.1c01204.s001