The effect of noise on the predictive limit of QSAR models

Abstract A key challenge in the field of Quantitative Structure Activity Relationships (QSAR) is how to effectively treat experimental error in the training and evaluation of computational models. It is often assumed in the field of QSAR that models cannot produce predictions which are more accurate...

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Auteurs principaux: Scott S. Kolmar, Christopher M. Grulke
Format: article
Langue:EN
Publié: BMC 2021
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Accès en ligne:https://doaj.org/article/78e54c4475464378b24bac9127e8e253
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