%0 Journal Article %1 schor2022ai %A Schor, Jana %A Scheibe, Patrick %A Bernt, Matthias %A Busch, Wibke %A Lai, Chih %A Hackermüller, Jörg %D 2022 %I Oxford University Press %J Briefings in bioinformatics %K imported zno %N 5 %P bbac257 %T AI for predicting chemical-effect associations at the chemical universe level—deepFPlearn %V 23

@article{schor2022ai, added-at = {2024-12-19T11:03:13.000+0100}, author = {Schor, Jana and Scheibe, Patrick and Bernt, Matthias and Busch, Wibke and Lai, Chih and Hackerm{\"u}ller, J{\"o}rg}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2961fbb9fbbe55fcf20d81d2c95bd7fb0/scadsfct}, interhash = {9b54b2ba05a63976ce0bd3824d3ede2b}, intrahash = {961fbb9fbbe55fcf20d81d2c95bd7fb0}, journal = {Briefings in bioinformatics}, keywords = {imported zno}, number = 5, pages = {bbac257}, publisher = {Oxford University Press}, timestamp = {2025-02-12T13:09:06.000+0100}, title = {AI for predicting chemical-effect associations at the chemical universe level—deepFPlearn}, volume = 23, year = 2022 }