نتایج جستجو برای: gene expression data clustering
تعداد نتایج: 3811171 فیلتر نتایج به سال:
Recognizing genes with distinctive expression levels can help in prevention, diagnosis and treatment of the diseases at the genomic level. In this paper, fast Global k-means (fast GKM) is developed for clustering the gene expression datasets. Fast GKM is a significant improvement of the k-means clustering method. It is an incremental clustering method which starts with one cluster. Iteratively ...
dna microarray is a powerful approach to study simultaneously, the expression of 1000 of genes in a single experiment. the average value of the fluorescent intensity could be calculated in a microarray experiment. the calculated intensity values are very close in amount to the levels of expression of a particular gene. however, determining the appropriate position of every spot in microarray im...
Background: The clustering of gene expression data plays an important role in the diagnosis and treatment of cancer. These kinds of data are typically involve in a large number of variables (genes), in comparison with number of samples (patients). Many clustering methods have been built based on the dissimilarity among observations that are calculated by a distance function. As increa...
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