A Hadoop-Based Method to Predict Potential Effective Drug Combination
Joint Authors
Xiong, Yi
Sun, Yifan
Wei, Dong-Qing
Xu, Qian
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-23
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Combination drugs that impact multiple targets simultaneously are promising candidates for combating complex diseases due to their improved efficacy and reduced side effects.
However, exhaustive screening of all possible drug combinations is extremely time-consuming and impractical.
Here, we present a novel Hadoop-based approach to predict drug combinations by taking advantage of the MapReduce programming model, which leads to an improvement of scalability of the prediction algorithm.
By integrating the gene expression data of multiple drugs, we constructed data preprocessing and the support vector machines and naïve Bayesian classifiers on Hadoop for prediction of drug combinations.
The experimental results suggest that our Hadoop-based model achieves much higher efficiency in the big data processing steps with satisfactory performance.
We believed that our proposed approach can help accelerate the prediction of potential effective drugs with the increasing of the combination number at an exponential rate in future.
The source code and datasets are available upon request.
American Psychological Association (APA)
Sun, Yifan& Xiong, Yi& Xu, Qian& Wei, Dong-Qing. 2014. A Hadoop-Based Method to Predict Potential Effective Drug Combination. BioMed Research International،Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-453739
Modern Language Association (MLA)
Sun, Yifan…[et al.]. A Hadoop-Based Method to Predict Potential Effective Drug Combination. BioMed Research International No. 2014 (2014), pp.1-5.
https://search.emarefa.net/detail/BIM-453739
American Medical Association (AMA)
Sun, Yifan& Xiong, Yi& Xu, Qian& Wei, Dong-Qing. A Hadoop-Based Method to Predict Potential Effective Drug Combination. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-5.
https://search.emarefa.net/detail/BIM-453739
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453739