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Effects of replacing the unreliable cDNA microarray measurements on the disease classification based on gene expression profiles and functional modules

机译:基于基因表达谱和功能模块,替换不可靠的cDNA微阵列测量结果对疾病分类的影响

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摘要

Motivation: Microarrays datasets frequently contain a large number of missing values (MVs), which need to be estimated and replaced for subsequent data mining. The focus of the paper is to study the effects of different MV treatments for cDNA microarray data on disease classification analysis.
机译:动机:微阵列数据集经常包含大量缺失值(MV),需要对其进行估计和替换以进行后续数据挖掘。本文的重点是研究针对cDNA微阵列数据的不同MV处理对疾病分类分析的影响。

著录项

  • 来源
    《Bioinformatics》 |2006年第23期|2883-2889|共7页
  • 作者单位

    Department of Bioinformatics and Bio-pharmaceutical Key Laboratory of Heilongjiang Province and State Harbin Medical UniversityHarbin 150086 China;

    Department of Pharmacology and Bio-pharmaceutical Key Laboratory of Heilongjiang Province and State Harbin Medical UniversityHarbin 150086 China;

    Department of Molecular Cardiology The Cleveland Clinic Foundation9500 Euclid Avenue Cleveland Ohio 44195 USA;

    Department of Cardiovascular Medicine The Cleveland Clinic Foundation9500 Euclid Avenue Cleveland Ohio 44195 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
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