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BMCBI
2007
134views more  BMCBI 2007»
13 years 10 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
2008
160views more  BMCBI 2008»
13 years 10 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...
GD
2005
Springer
14 years 3 months ago
Energy-Based Clustering of Graphs with Nonuniform Degrees
Widely varying node degrees occur in software dependency graphs, hyperlink structures, social networks, and many other real-world graphs. Finding dense subgraphs in such graphs is ...
Andreas Noack
ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 9 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
FPL
2008
Springer
141views Hardware» more  FPL 2008»
13 years 11 months ago
An analytical model describing the relationships between logic architecture and FPGA density
This paper describes an analytical model, based principally on Rent's Rule, that relates logic architectural parameters to the area efficiency of an FPGA. In particular, the ...
Andrew Lam, Steven J. E. Wilton, Philip Heng Wai L...