首页> 外文会议>Asia-Pacific Bioinformatics Conference(APBC 2003); 200302; Adelaide(AU) >A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analysis
【24h】

A Generic Connectionist-Based Method for On-Line Feature Selection and Modelling with a Case Study of Gene Expression Data Analysis

机译:基于通用连接论的在线特征选择和建模方法-以基因表达数据分析为例

获取原文
获取原文并翻译 | 示例

摘要

The paper presents a novel generic method for on-line feature extraction from an incrementally trained connectionist system. The method is applied on a case study problem of identifying genes related to classes of diseases, in particular - 14 types of cancer. The method is based on the evolving connectionist systems ECOS paradigm. The analysis of the discovered features through the application of the proposed method on the case study data, demonstrates the potential of the method for solving important real world problems, such as the problem of defining genes related to diseases.
机译:本文提出了一种新的通用方法,用于从训练有素的连接员系统中进行在线特征提取。该方法适用于案例研究问题,该问题用于确定与疾病类别(尤其是14种癌症)相关的基因。该方法基于不断发展的连接主义系统ECOS范式。通过将所提出的方法应用于案例研究数据,对发现的特征进行分析,证明了该方法在解决重要的现实世界问题(例如与疾病相关的基因定义问题)方面的潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号