Fuzzy Types Clustering for Microarray Data
نویسندگان
چکیده
The main goal of microarray experiments is to quantify the expression of every object on a slide as precisely as possible, with a further goal of clustering the objects. Recently, many studies have discussed clustering issues involving similar patterns of gene expression. This paper presents an application of fuzzy-type methods for clustering DNA microarray data that can be applied to typical comparisons. Clustering and analyses were performed on microarray and simulated data. The results show that fuzzy-possibility c-means clustering substantially improves the findings obtained by others. Keywords—Clustering, microarray data, Fuzzy-type clustering, Validation
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تاریخ انتشار 2005