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Details for article 12 of 14 found articles
| Title: |
Quantitative structure retention relationship (QSRR) modelling for Analytes’ retention prediction in LC-HRMS by applying different Machine Learning algorithms and evaluating their performance |
| Author: |
Liapikos, T. Zisi, C. Kodra, D. Kademoglou, K. Diamantidou, D. Begou, O. Pappa-Louisi, A. Theodoridis, G. |
| Appeared in: |
Journal of Chromatography. B, Analytical technologies in the biomedical and life sciences |
| Paging: | Volume 1191 () nr. C pages p. |
| Year: |
2022 |
| Contents: | |
| Publisher: |
Elsevier B.V. |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 12 of 14 found articles
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