A semi-supervised learning framework for quantitative structure-activity regression modelling

A semi-supervised learning framework for quantitative structure-activity regression modelling

MOTIVATION: Quantitative structure-activity relationship (QSAR) methods are increasingly used in assisting the process of preclinical, small molecule drug discovery. Regression models are trained on data consisting of a finite-dimensional representation of molecular structures and their correspondin...

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Bibliographic Details
Main Authors: Oliver Watson, Isidro Cortes-Ciriano, James A. Watson
Other Authors: Faculty of Tropical Medicine, Mahidol University
Format: Article
Published: 2022
Subjects:
Biochemistry, Genetics and Molecular Biology
Computer Science
Mathematics
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/76207
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Institution: Mahidol University

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https://repository.li.mahidol.ac.th/handle/123456789/76207

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