A Mathematical Model for the Validation of Gene Selection Methods

Muselli Marco; Bertoni Alberto; Frasca Marco; Beghini Alessandro; Ruffino Francesca; Valentini Giorgio

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A Mathematical Model for the Validation of Gene Selection Methods

机译：基因选择方法验证的数学模型

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摘要

Gene selection methods aim at determining biologically relevant subsets of genes in DNA microarray experiments. However, their assessment and validation represent a major difficulty since the subset of biologically relevant genes is usually unknown. To solve this problem a novel procedure for generating biologically plausible synthetic gene expression data is proposed. It is based on a proper mathematical model representing gene expression signatures and expression profiles through Boolean threshold functions. The results show that the proposed procedure can be successfully adopted to analyze the quality of statistical and machine learning-based gene selection algorithms.

机译：基因选择方法旨在确定DNA微阵列实验中基因的生物学相关子集。然而，由于生物学相关基因的子集通常是未知的，因此它们的评估和验证是一个主要困难。为了解决这个问题，提出了一种用于产生生物学上合理的合成基因表达数据的新方法。它基于通过布尔阈值函数表示基因表达特征和表达谱的适当数学模型。结果表明，所提出的程序可以成功地用于分析统计和基于机器学习的基因选择算法的质量。

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来源
《Computational Biology and Bioinformatics, IEEE/ACM Transactions on》 |2011年第5期|p.1385-1392|共8页
作者
Muselli Marco; Bertoni Alberto; Frasca Marco; Beghini Alessandro; Ruffino Francesca; Valentini Giorgio;
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作者单位

Consiglio Nazionale delle Ricerche, Genova;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Boolean functions.; Gene selection; feature selection; gene expression; mathematical models;

机译：布尔函数;基因选择;特征选择;基因表达;数学模型;

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A Mathematical Model for the Validation of Gene Selection Methods

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