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A PROTOCOL FOR CLUSTERING OF MICROARRAY DATA WITH MISSING VALUES

机译:缺少值的微阵列数据聚类协议

摘要

A method for analyzing a cluster of microarray data including missing values and a program storage medium thereof are provided to solve a problem not applied to cluster analysis caused from impossibility for calculating a distance between genes in case that the missing values are present in the cluster analysis and to utilize all gene information of the microarray data by including the gene having the missing values to the cluster analysis. The number of microarray data clusters is determined(S100). The cluster analysis for each sample is performed by using a cluster analysis algorithm based on the fixed number of microarray data clusters(S200). Similar clusters among all samples are determined for the fixed cluster of each sample(S300). The cluster of each gene is determined by combining the clusters identifiable through the similar cluster(S400).
机译:提供了一种用于分析包括缺失值的微阵列数据的簇的方法及其程序存储介质,以解决在簇分析中存在缺失值的情况下由于无法计算基因之间的距离而导致的不适用于簇分析的问题。通过将具有缺失值的基因包括在聚类分析中,从而利用微阵列数据的所有基因信息。确定微阵列数据簇的数量(S100)。通过使用基于固定数目的微阵列数据簇的聚类分析算法,对每个样品进行聚类分析(S200)。针对每个样本的固定聚类确定所有样本中的相似聚类(S300)。通过组合可通过相似簇识别的簇来确定每个基因的簇(S400)。

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