DNA microarray technology has now possible to simultaneously monitor the expression levels of thousands of genes during important biological processes and across collections of related samples. However, the large number of genes and the complexity of biological networks greatly increase the challenges of comprehending and interpreting the resulting mass of data, which often consists of different types of measurements. An important step toward addressing this challenge is the use of robust clustering techniques, which is essential in the data.
Robust Clustering for Gene Expression Data Study in Bioinformatics: Statistical Robust Clustering Approach for Gene Expression Microarry Data Analysis read online free book
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