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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/98064
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Type: Journal article
Title: DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins
Author: Jamali, A.
Ferdousi, R.
Razzaghi, S.
Li, J.
Safdari, R.
Ebrahimie, E.
Citation: Drug Discovery Today, 2016; 21(5):718-724
Publisher: Elsevier
Issue Date: 2016
ISSN: 1359-6446
1878-5832
Statement of
Responsibility: 		Ali Akbar Jamali, Reza Ferdousi, Saeed Razzaghi, Jiuyong Li, Reza Safdari, and Esmaeil Ebrahimie
Abstract: Abstract not available
Keywords: Humans
Proteins
Algorithms
Drug Discovery
Machine Learning
Rights: © 2016 Published by Elsevier Ltd.
DOI: 10.1016/j.drudis.2016.01.007
Published version: http://dx.doi.org/10.1016/j.drudis.2016.01.007
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