Efficient Mode of Action Identification by Support Vector Machine Regression

被引：0
|
作者：
Bevilacqua, Vitoantonio [1 ]
Pannarale, Paolo [1 ]
机构：
[1] Politecn Bari, Dipartimento Elettrotecn & Elettron, I-70125 Bari, Italy
来源：
EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS | 2012年 / 304卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Discovering the molecular targets of compounds or the cause of physiological conditions, among the multitude of known genes, is one of the major challenges of bioinformatics. Our approach has the advantage of not needing control samples, libraries or numerous assays. The so far proposed implementations of this strategy are computationally demanding. Our solution, while performing comparably to state of the art algorithms in terms of discovered targets, is more efficient in terms of memory and time consumption.
引用
收藏
页码：191 / 196
页数：6
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