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Evaluation of quantitative structure-activity relationship modeling strategies: local and global models
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy.
2010 (English)In: Journal of Chemical Information and Modeling, ISSN 1549-960X, Vol. 50, no 4, 677-689 p.Article in journal (Refereed) Published
Abstract [en]

A thorough comparison between different QSAR modeling strategies is presented. The comparison is conducted for local versus global modeling strategies, risk assessment, and computational cost. The strategies are implemented using random forests, support vector machines, and partial least squares. Results are presented for simulated data, as well as for real data, generally indicating that a global modeling strategy is preferred over a local strategy. Furthermore, the results also show that there is an pronounced risk and a comparatively high computational cost when using the local modeling strategies.

Place, publisher, year, edition, pages
2010. Vol. 50, no 4, 677-689 p.
National Category
Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-152207DOI: 10.1021/ci900471ePubMedID: 20218538OAI: oai:DiVA.org:uu-152207DiVA: diva2:412978
Available from: 2011-04-27 Created: 2011-04-27 Last updated: 2011-07-06Bibliographically approved

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