Papers: 10.1371/journal.pone.0213848
https://doi.org/10.1371/journal.pone.0213848
QSAR modelling of a large imbalanced aryl hydrocarbon activation dataset by rational and random sampling and screening of 80,086 REACH pre-registered and/or registered substances
Cited by: 16
Author(s): Kyrylo Klimenko, Sine Abildgaard Rosenberg, Marianne Dybdahl, Eva Bay Wedebye, Nikolai Georgiev Nikolov
Published: over 7 years ago
Software Mentions 1
pypi: QSAR
Python library for QSAR model from Juvena Machine Learning Team.Papers that mentioned: 176
Very Likely Science (75)