Drug Screening with Elastic-Net Multiple Kernel Learning

被引：0

作者：

Pasupa, Kitsuchart ^{[1
]}

Hussain, Zakria ^{[2
]}

Shawe-Taylor, John ^{[2
]}

Willett, Peter ^{[3
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabang, Fac Informat Technol, Bangkok 10520, Thailand

[2] Univ London Univ Coll, Dept Comp Sci, London WC1E 6BT, England

[3] Univ Sheffield, Sch Informat, Sheffield, S Yorkshire S1 4DP, England

来源：

2013 IEEE 13TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE) | 2013年

关键词：

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

页数：5

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