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BMCBI
2007
134views more  BMCBI 2007»
14 years 11 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»
14 years 11 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...
SAC
2009
ACM
15 years 6 months ago
Visualization of clustered directed acyclic graphs with node interleaving
Graph drawing and visualization represent structural information ams of abstract graphs and networks. An important subset of graphs is directed acyclic graphs (DAGs). E-Spring alg...
Pushpa Kumar, Kang Zhang
AAAI
2008
15 years 2 months ago
Clustering via Random Walk Hitting Time on Directed Graphs
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...
Mo Chen, Jianzhuang Liu, Xiaoou Tang
IPPS
2000
IEEE
15 years 4 months ago
Reconfigurable Parallel Sorting and Load Balancing on a Beowulf Cluster: HeteroSort
HeteroSort load balances and sorts within static or dynamic networks using a conceptual torus mesh. We ported HeteroSort to a 16-node Beowulf cluster with a central switch architec...
Pamela Yang, Timothy M. Kunau, Bonnie Holte Bennet...