Development of a Gaussian Process – feature selection model to characterise (poly)dimethylsiloxane (Silastic®) membrane permeation

ConclusionsThis study highlights important considerations in the development of relevant models and in the construction and use of the data sets used in such studies, particularly that highly correlated descriptors should be removed from data sets. Predictive models are improved by the methodology adopted in this study, notably the systematic evaluation of descriptors, rather than simply using any and all available descriptors, often based empirically onin vitro experiments. Such findings also have clear relevance to a number of other fields.

Source: Journal of Pharmacy and Pharmacology - June 7, 2020 Category: Drugs & Pharmacology Authors: Yi Sun, Mark Hewitt, Simon C. Wilkinson, Neil Davey, Roderick G. Adams, Darren R. Gullick, Gary P. Moss Tags: Research Paper Source Type: research