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BMCBI
2007
135views more  BMCBI 2007»
13 years 5 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
2007
141views more  BMCBI 2007»
13 years 5 months ago
HeliCis: a DNA motif discovery tool for colocalized motif pairs with periodic spacing
Background: Correct temporal and spatial gene expression during metazoan development relies on combinatorial interactions between different transcription factors. As a consequence...
Erik Larsson, Per Lindahl, Petter Mostad
BMCBI
2007
134views more  BMCBI 2007»
13 years 5 months ago
Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
BMCBI
2005
253views more  BMCBI 2005»
13 years 5 months ago
The Use of Edge-Betweenness Clustering to Investigate Biological Function in Protein Interaction Networks
Background: This paper describes an automated method for finding clusters of interconnected proteins in protein interaction networks and retrieving protein annotations associated ...
Ruth Dunn, Frank Dudbridge, Christopher M. Sanders...
CORR
1999
Springer
98views Education» more  CORR 1999»
13 years 5 months ago
A variational description of the ground state structure in random satisfiability problems
A variational approach to finite connectivity spin-glass-like models is developed and applied to describe the structure of optimal solutions in random satisfiability problems. Our ...
Giulio Biroli, Rémi Monasson, Martin Weigt