如何利用信息增益对基因进行排序？
如何使用信息增益和卡方统计对微阵列数据进行基因排序？请用一个简单的例子来说明..
how gene ranking is done for microarray data using information gain and chi-square statistics ?? Please illustrate with a simple example..
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您可以使用开源机器学习软件Weka。加载数据集并转到“选择属性”选项卡。使用以下属性评估器：
ChiSquaredAttributeEval ：通过计算相对于类的卡方统计值来评估属性的价值。
InfoGainAttributeEval：通过测量相对于类的信息增益来评估属性的价值。
..在“搜索方法”中使用Ranker。这样，属性就会根据他们的个人评价进行排名
You could use the open source machine learning software Weka. Load your dataset and go to "Select attribute" tab. Use the following attributes evaluators:
ChiSquaredAttributeEval : Evaluates the worth of an attribute by computing the value of the chi-squared statistic with respect to the class.
InfoGainAttributeEval : Evaluates the worth of an attribute by measuring the information gain with respect to the class.
..using Ranker in the "Search Method" . That way the attributes are ranked by their individual evaluations
我不太明白你的问题，但是可以在这里找到一个非常成功的分析微阵列数据的包：
BioConductor
这是一个软件项目，具有多种不同的模块，用于从微阵列读取数据并进行统计分析。这非常有用，因为随着技术的发展，微阵列数据的文件格式在不断变化，并且用于分析微阵列数据的算法也显着进步。
I don't exactly understand your question, but a very successful package for analyzing microarray data can be found here:
BioConductor
This is a software project that has a variety of different modules for reading data from microarrays and performing statistical analysis. This is very useful, because the file formats for microarray data are constantly changing as the technology develops, and the algorithms for analyzing microarray data have advanced significantly as well.
您可以使用
InfoGainAttributeEval来计算信息增益并了解更多信息查看此答案
you can use
InfoGainAttributeEvalfor calculating Information gainand for more information check this answer