Open Access<strong>New tool useful for drug discovery validated through benchmark datasets</strong>
Author(s) -
Juan A. Castillo-Garit,
Yoan Martínez-López,
Yailé Caballero,
Stephen J. Barigye,
Yovani MarreroPonce,
Reisel Millán Cabrera,
Julio Madera,
Efrain Chaluisa Quishpe,
Francisco Torrens
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-04-05132
Subject(s) - quantitative structure–activity relationship , benchmark (surveying) , orthogonality , orthogonalization , computer science , principal component analysis , data mining , molecular descriptor , set (abstract data type) , machine learning , artificial intelligence , mathematics , algorithm , geometry , geodesy , programming language , geography