189 search results - page 11 / 38 » Fractal Clustering for Microarray Data Analysis |
87
Voted
BMCBI
2007
14 years 9 months ago
2007
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
120
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JCB
2002
14 years 9 months ago
2002
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
112
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BMCBI
2011
14 years 4 months ago
2011
Background: Genome-wide expression signatures are emerging as potential marker for overall survival and disease recurrence risk as evidenced by recent commercialization of gene ex...
106
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BMCBI
2005
14 years 9 months ago
2005
Background: Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage o...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
DNA microarray provides a powerful basis for analysis of gene expression. Data mining methods such as clustering have been widely applied to microarray data to link genes that sho...