返回
Ensemble methods for biclustering tasks
DOI:10.1016/j.patcog.2012.04.010.png)
摘要
En 中文
Several biclustering algorithms have been proposed in different fields of microarray data analysis. We present a new approach that improves their performance in using the ensemble methods. An ensemble biclustering is considered and formalized by a problem of binary triclustering. We propose a simple and efficient algorithm to solve it. To illustrate the interest of our ensemble approach, numerical experiments are performed on both artificial and real datasets with two biclustering algorithms commonly used in bioinformatics. (C) 2012 Elsevier Ltd. All rights reserved.
Keyword:
Co-clustering
Ensemble methods
Microarray data
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
引用论文
Prediction of Pregabalin-Mediated Pain Response by Severity of Sleep Disturbance in Patients with Painful Diabetic Neuropathy and Post-Herpetic Neuralgia疼痛性糖尿病神经病变和带状疱疹后神经痛患者睡眠障碍严重程度预测普瑞巴林介导的疼痛反应

