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» Algorithms for Finding Gene Clusters
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BMCBI
2007
135views more  BMCBI 2007»
14 years 11 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
BMCBI
2010
153views more  BMCBI 2010»
14 years 10 months ago
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
Bruno M. Tesson, Rainer Breitling, Ritsert C. Jans...
CSB
2004
IEEE
173views Bioinformatics» more  CSB 2004»
15 years 3 months ago
Gene Ontology Friendly Biclustering of Expression Profiles
The soundness of clustering in the analysis of gene expression profiles and gene function prediction is based on the hypothesis that genes with similar expression profiles may imp...
Jinze Liu, Wei Wang 0010, Jiong Yang
PAKDD
2007
ACM
184views Data Mining» more  PAKDD 2007»
15 years 5 months ago
A Fast Algorithm for Finding Correlation Clusters in Noise Data
Abstract. Noise significantly affects cluster quality. Conventional clustering methods hardly detect clusters in a data set containing a large amount of noise. Projected clusterin...
Jiuyong Li, Xiaodi Huang, Clinton Selke, Jianming ...
NAR
2008
175views more  NAR 2008»
14 years 11 months ago
Onto-CC: a web server for identifying Gene Ontology conceptual clusters
The Gene Ontology (GO) vocabulary has been extensively explored to analyze the functions of coexpressed genes. However, despite its extended use in Biology and Medical Sciences, t...
Rocío Romero-Záliz, Coral del Val, J...