المؤلفون: Ting-Fei Zhu, Rong Qian, Xiao Wei, Ai-Ping Lu, Dong-Sheng Cao

مصطلحات موضوعية: Biochemistry, Medicine, Pharmacology, Sociology, Science Policy, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, unveiling hidden patterns, providing early access, offering unique insights, machine learning algorithms, explore innovative approaches, combining network measures, assumed central pattern, identifying key compounds, identify key compounds, expediting drug discovery, predicting key compounds, key compounds, drug research, work serves, unpublished data, study collected, promising foundation, physicochemical properties, pharmaceutical industry, model interpretation, crucial role

Relation: https://figshare.com/articles/journal_contribution/PatentNetML_A_Novel_Framework_for_Predicting_Key_Compounds_in_Patents_Using_Network_Science_and_Machine_Learning/24952669

الاتاحة: https://doi.org/10.1021/acs.jmedchem.3c01893.s001
https://figshare.com/articles/journal_contribution/PatentNetML_A_Novel_Framework_for_Predicting_Key_Compounds_in_Patents_Using_Network_Science_and_Machine_Learning/24952669