A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time | |
Chang, Howard H.; Wang, Chi; Tian, Suyan | |
刊名 | BMC MEDICAL INFORMATICS AND DECISION MAKING |
2018 | |
卷号 | 18 |
关键词 | Core subset Feature selection Gene set analysis Longitudinal microarray data Significance analysis of microarray (SAM) |
ISSN号 | 1472-6947 |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/3534393 |
专题 | 吉林大学白求恩第一医院 |
推荐引用方式 GB/T 7714 | Chang, Howard H.,Wang, Chi,Tian, Suyan. A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time[J]. BMC MEDICAL INFORMATICS AND DECISION MAKING,2018,18. |
APA | Chang, Howard H.,Wang, Chi,&Tian, Suyan.(2018).A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time.BMC MEDICAL INFORMATICS AND DECISION MAKING,18. |
MLA | Chang, Howard H.,et al."A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time".BMC MEDICAL INFORMATICS AND DECISION MAKING 18(2018). |
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