دورية أكاديمية
eccCL: parallelized GPU implementation of Ensemble Classifier Chains
| العنوان: | eccCL: parallelized GPU implementation of Ensemble Classifier Chains |
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| المؤلفون: | Mona Riemenschneider, Alexander Herbst, Ari Rasch, Sergei Gorlatch, Dominik Heider |
| المصدر: | BMC Bioinformatics, Vol 18, Iss 1, Pp 1-4 (2017) |
| بيانات النشر: | BMC, 2017. |
| سنة النشر: | 2017 |
| المجموعة: | LCC:Computer applications to medicine. Medical informatics LCC:Biology (General) |
| مصطلحات موضوعية: | Classifier chains, Multi label classification, High performance computing, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5 |
| الوصف: | Abstract Background Multi-label classification has recently gained great attention in diverse fields of research, e.g., in biomedical application such as protein function prediction or drug resistance testing in HIV. In this context, the concept of Classifier Chains has been shown to improve prediction accuracy, especially when applied as Ensemble Classifier Chains. However, these techniques lack computational efficiency when applied on large amounts of data, e.g., derived from next-generation sequencing experiments. By adapting algorithms for the use of graphics processing units, computational efficiency can be greatly improved due to parallelization of computations. Results Here, we provide a parallelized and optimized graphics processing unit implementation (eccCL) of Classifier Chains and Ensemble Classifier Chains. Additionally to the OpenCL implementation, we provide an R-Package with an easy to use R-interface for parallelized graphics processing unit usage. Conclusion eccCL is a handy implementation of Classifier Chains on GPUs, which is able to process up to over 25,000 instances per second, and thus can be used efficiently in high-throughput experiments. The software is available at http://www.heiderlab.de . |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1471-2105 |
| Relation: | http://link.springer.com/article/10.1186/s12859-017-1783-9; https://doaj.org/toc/1471-2105 |
| DOI: | 10.1186/s12859-017-1783-9 |
| URL الوصول: | https://doaj.org/article/ddae5f6b0cfe433f92a3ddf781c950bc |
| رقم الأكسشن: | edsdoj.5f6b0cfe433f92a3ddf781c950bc |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 14712105 |
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| DOI: | 10.1186/s12859-017-1783-9 |