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» A cluster validity framework for genome expression data
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NAR
2006
142views more  NAR 2006»
14 years 11 months ago
miRNAMap: genomic maps of microRNA genes and their target genes in mammalian genomes
Recent work has demonstrated that microRNAs (miRNAs) are involved in critical biological processes by suppressing the translation of coding genes. This work develops an integrated...
Paul Wei-Che Hsu, Hsien-Da Huang, Sheng-Da Hsu, Li...
BMCBI
2008
134views more  BMCBI 2008»
14 years 12 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
IJKDB
2010
170views more  IJKDB 2010»
14 years 9 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
JCB
2002
160views more  JCB 2002»
14 years 11 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
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...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
16 years 1 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal