首页> 外文期刊>Bioinformatics >Robustified MANOVA with applications in detecting differentially expressed genes from oligonucleotide arrays
【24h】

Robustified MANOVA with applications in detecting differentially expressed genes from oligonucleotide arrays

机译:稳健的MANOVA及其在从寡核苷酸阵列检测差异表达基因中的应用

获取原文
获取原文并翻译 | 示例
       

摘要

Motivation: Oligonucleotide arrays such as Affymetrix GeneChips use multiple probes, or a probe set, to measure the abundance of mRNA of every gene of interest. Some analysis methods attempt to summarize the multiple observations into one single score before conducting further analysis such as detecting differentially expressed genes (DEG), clustering and classification. However, there is a risk of losing a significant amount of information and consequently reaching inaccurate or even incorrect conclusions during this data reduction.
机译:动机:寡核苷酸阵列(例如Affymetrix GeneChips)使用多个探针或探针组来测量每个目标基因的mRNA丰度。一些分析方法尝试在进行进一步分析(例如检测差异表达基因(DEG),聚类和分类)之前将多个观察结果汇总为一个分数。但是,存在在此数据精简过程中丢失大量信息并因此得出不准确甚至错误结论的风险。

著录项

  • 来源
    《Bioinformatics》 |2008年第8期|1056-1062|共7页
  • 作者

    Jin Xu; and Xinping Cui;

  • 作者单位

    Department of Statistics East China Normal University Shanghai 200241 China and;

    Department of Statistics University of California Riverside Riverside 92521 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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