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BMCBI
2004
154views more  BMCBI 2004»
13 years 8 months ago
Accuracy of cDNA microarray methods to detect small gene expression changes induced by neuregulin on breast epithelial cells
Background: cDNA microarrays are a powerful means to screen for biologically relevant gene expression changes, but are often limited by their ability to detect small changes accur...
Bin Yao, Sanjay N. Rakhade, Qunfang Li, Sharlin Ah...
LWA
2004
13 years 10 months ago
Dirichlet Enhanced Latent Semantic Analysis
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
Kai Yu, Shipeng Yu, Volker Tresp
HICSS
2008
IEEE
132views Biometrics» more  HICSS 2008»
14 years 3 months ago
Monitoring of Power System Dynamic Behavior Using Characteristic Ellipsoid Method
The potential uses of the sub-second GPSsynchronized phasor data collected from various locations within an electric power system promise endless benefits for the applications tar...
Yuri V. Makarov, Carl H. Miller, Tony B. Nguyen
ICML
2006
IEEE
14 years 9 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
BMCBI
2010
129views more  BMCBI 2010»
13 years 9 months ago
A temporal precedence based clustering method for gene expression microarray data
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
Ritesh Krishna, Chang-Tsun Li, Vicky Buchanan-Woll...