Bioinformatics tools with deep learning based on GPU

Che Lun Hung, Chuan Yi Tang

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

Due to the rapid increase in biological data dimension and acquisition rate, the traditional analysis methods are unable to achieve acceptable accuracy. Recently, Deep learning technologies have shown outstanding results in many domains; especially in pattern recognition in the field of bioinformatics. In this paper, we provide background of what deep learning and its frameworks. In addition, we review the state-of-the-art algorithms based on GPU to presenting the usage of them to guide computational biologists to know how to leverage deep learning to improve their methods.

原文English
主出版物標題Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
編輯Illhoi Yoo, Jane Huiru Zheng, Yang Gong, Xiaohua Tony Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Dmitry Korkin
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1906-1908
頁數3
ISBN(電子)9781509030491
DOIs
出版狀態Published - 15 12月 2017
事件2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, United States
持續時間: 13 11月 201716 11月 2017

出版系列

名字Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
2017-January

Conference

Conference2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
國家/地區United States
城市Kansas City
期間13/11/1716/11/17

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