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%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
%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},
number = 5,
pages = {bbac257},
publisher = {Oxford University Press},
timestamp = {2024-12-19T11:03:13.000+0100},
title = {AI for predicting chemical-effect associations at the chemical universe level—deepFPlearn},
volume = 23,
year = 2022
}