QQ客服 官方微博 反馈留言

	Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension
	Gao, Shuhua; Xiang, Cheng; Sun, Changkai; Qin, Kairong; Lee, Tong Heng
	2018
会议名称	14th IEEE International Conference on Control and Automation, ICCA 2018
会议日期	2018-06-12
会议地点	Anchorage, AK, United states
页码	1076-1081
会议录	14th IEEE International Conference on Control and Automation, ICCA 2018
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/3268708
专题	大连理工大学
作者单位	1.Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore 2.Department of Biomedical Engineering, Dalian University of Technology, Dalian, China 3.School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian, China
推荐引用方式 GB/T 7714	Gao, Shuhua,Xiang, Cheng,Sun, Changkai,et al. Efficient Boolean Modeling of Gene Regulatory Networks via Random Forest Based Feature Selection and Best-Fit Extension[C]. 见:14th IEEE International Conference on Control and Automation, ICCA 2018. Anchorage, AK, United states. 2018-06-12.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。