Outlier Detection for Microarray Data

摘要：

It is important to estimate the impact of protocol changes on expression profiles based on microarray data and eventually on classification accuracy. This estimation should be based on experiments with replicates. Therefore, it is important to detect outliers in such experiments. This paper proposes an outlier detection algorithm for replicate microarray experiments.

关键词： classification gene ezpression microarray outlier

作者: Wei-min Liu

作者单位: Biostatistics and Bioinformatics Roche Molecular Systems, Inc. Pleasanton, CA, USA

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 585-586

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）