Mfuzz: A software package for soft clustering of microarray data
نویسندگان
چکیده
منابع مشابه
Mfuzz: A software package for soft clustering of microarray data
UNLABELLED For the analysis of microarray data, clustering techniques are frequently used. Most of such methods are based on hard clustering of data wherein one gene (or sample) is assigned to exactly one cluster. Hard clustering, however, suffers from several drawbacks such as sensitivity to noise and information loss. In contrast, soft clustering methods can assign a gene to several clusters....
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Clustering is an important tool in microarray data analysis. This unsupervised learning technique is commonly used to reveal structures hidden in large gene expression data sets. The vast majority of clustering algorithms applied so far produce hard partitions of the data, i.e. each gene is assigned exactly to one cluster. Hard clustering is favourable if clusters are well separated. However, t...
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ژورنال
عنوان ژورنال: Bioinformation
سال: 2007
ISSN: 0973-8894,0973-2063
DOI: 10.6026/97320630002005