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BMCBI
2006
140views more  BMCBI 2006»
13 years 6 months ago
Feature selection using Haar wavelet power spectrum
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
Prabakaran Subramani, Rajendra Sahu, Shekhar Verma
BMCBI
2006
121views more  BMCBI 2006»
13 years 6 months ago
Robust computational reconstitution - a new method for the comparative analysis of gene expression in tissues and isolated cell
Background: Biological tissues consist of various cell types that differentially contribute to physiological and pathophysiological processes. Determining and analyzing cell type-...
Martin Hoffmann, Dirk Pohlers, Dirk Koczan, Hans-J...
BMCBI
2006
130views more  BMCBI 2006»
13 years 6 months ago
Spatial normalization of array-CGH data
Background: Array-based comparative genomic hybridization (array-CGH) is a recently developed technique for analyzing changes in DNA copy number. As in all microarray analyses, no...
Pierre Neuvial, Philippe Hupé, Isabel Brito...
BMCBI
2005
112views more  BMCBI 2005»
13 years 6 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
TKDE
2008
125views more  TKDE 2008»
13 years 6 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky