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BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
13 years 8 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
BMCBI
2007
133views more  BMCBI 2007»
13 years 8 months ago
GenMAPP 2: new features and resources for pathway analysis
Background: Microarray technologies have evolved rapidly, enabling biologists to quantify genome-wide levels of gene expression, alternative splicing, and sequence variations for ...
Nathan Salomonis, Kristina Hanspers, Alexander C. ...
GFKL
2004
Springer
137views Data Mining» more  GFKL 2004»
14 years 1 months ago
Density Estimation and Visualization for Data Containing Clusters of Unknown Structure
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
Alfred Ultsch
SDM
2009
SIAM
130views Data Mining» more  SDM 2009»
14 years 5 months ago
FuncICA for Time Series Pattern Discovery.
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
Alexander Gray, Nishant Mehta
IV
2007
IEEE
178views Visualization» more  IV 2007»
14 years 2 months ago
Viewing the Larger Context of Genomic Data through Horizontal Integration
Genomics is an important emerging scientific field that relies on meaningful data visualization as a key step in analysis. Specifically, most investigation of gene expression micr...
Matthew A. Hibbs, Grant Wallace, Maitreya J. Dunha...