Open AccessA new simplex machine learning approach for analysis of structural chemical diversification processes. Comparison with other molecular modeling methods.
Author(s) -
Nasredine Semmar,
Abir Sarraj-Laabidi,
Asma Hammami-Semmar
Publication year - 2018
Publication title -
proceedings of mol2net 2018, international conference on multidisciplinary sciences, 4th edition
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3390/mol2net-04-05916
Subject(s) - simplex , in silico , computer science , diversification (marketing strategy) , artificial intelligence , machine learning , theoretical computer science , chemistry , mathematics , geometry , marketing , business , biochemistry , gene