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Drug screening with elastic-net multiple kernel learning
Author(s)
Date Issued
December 1, 2013
Type
Conference Paper
Abstract
We apply Elastic-net Multiple Kernel Learning (MKL) to the MDL Drug Data Report (MDDR) database for the problem of drug screening. We show that combining a set of kernels constructed from fingerprint descriptors, can significantly improve the accuracy of prediction, against a Support Vector Machine trained on each kernel separately. To the best of our knowledge, this is the first application of MKL to the MDDR database for drug screening. © 2013 IEEE.
Citation
13th IEEE International Conference on Bioinformatics and Bioengineering IEEE Bibe 2013, 2013
