Artificial neural network prediction of multilinear gradient retention in reversed-phase HPLC: comprehensive QSRR-based models combining categorical or structural solute descriptors and gradient profile parameters
Crossref DOI link: https://doi.org/10.1007/s00216-014-8317-3
Published Online: 2014-11-14
Published Print: 2015-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
D’Archivio, Angelo Antonio
Maggi, Maria Anna
Ruggieri, Fabrizio
Text and Data Mining valid from 2014-11-14