The Sensitivity of Spectral Clustering Applied to Gene Expression Data
The Sensitivity of Spectral Clustering Applied to Gene Expression Data
复制标题
谱聚类应用于基因表达数据的敏感性
DOI：
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发表时间：
2007
期刊：
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通讯作者：
J. K. Vass
中科院分区：
文献类型：
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作者：
Alastair Spence;Zhivko Stoyanov;J. K. Vass
在需要排序或聚类的大规模数值数据集中，能够度量排序或聚类的灵敏度是很重要的。本文将联合收割机统计方法与数值线性代数方法相结合，得到一种有效的数值方法来度量谱聚类的灵敏度。该方法被应用于回答一个关于乳腺癌样本中MYH 11和NDE 1基因表达的问题。
In large scale numerical datasets which are to be ordered or clustered it is important to be able to measure the sensitivity of the orderings or clusterings. In this paper we combine statistical methods with techniques from numerical linear algebra to obtain an efficient numerical method to measure the sensitivity of spectral clustering. The method is applied to answer a question about the expression of genes MYH11 and NDE1 in breast cancer samples.