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Data and model predictions for a medium dosage of the valid..:
Shauna D. O'Donovan
;
Rachel Cavill
;
Florian Wimmenauer
...
doi:10.1371/journal.pone.0292030.g005. , 2023
Link:
https://doi.org/10.1371/journal.pone.0292030.g005
RT Journal T1
Data and model predictions for a medium dosage of the validation compound hexachlorobenzene for the UDA network trained with domain adaptation for the GTX/C gene set
UL https://suche.suub.uni-bremen.de/peid=base-ftunivoxfordfig:oai:figshare.com:article_24690071&Exemplar=1&LAN=DE A1 Shauna D. O'Donovan A1 Rachel Cavill A1 Florian Wimmenauer A1 Alexander Lukas A1 Tobias Stumm A1 Evgueni Smirnov A1 Michael Lenz A1 Gokhan Ertaylan A1 Danyel G. J. Jennen A1 Natal A. W. van Riel A1 Kurt Driessens A1 Ralf L. M. Peeters A1 Theo M. C. M. de Kok YR 2023 K1 Biochemistry K1 Genetics K1 Immunology K1 Infectious Diseases K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 relevant clinical outcomes K1 cell line models K1 previously unseen compound K1 many adverse reactions K1 transfer learning within K1 gene expression following K1 gates data set K1 div >< p K1 transfer learning K1 gene expression K1 novel compound K1 many compounds K1 vivo </ K1 temporal accuracy K1 relative abundance K1 readily accessible K1 primary site K1 primary location K1 prediction accuracy K1 open tg K1 often used K1 incorporate principles K1 including pharmaceuticals K1 expected pattern K1 domain adaptation K1 combining data K1 candidate drug JF doi:10.1371/journal.pone.0292030.g005 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0292030.g005 DO https://doi.org/10.1371/journal.pone.0292030.g005 SF ELIB - SuUB Bremen
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