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» Clustering Genes Using Heterogeneous Data Sources
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JMLR
2006
96views more  JMLR 2006»
15 years 3 months ago
Rearrangement Clustering: Pitfalls, Remedies, and Applications
Given a matrix of values in which the rows correspond to objects and the columns correspond to features of the objects, rearrangement clustering is the problem of rearranging the ...
Sharlee Climer, Weixiong Zhang
NIPS
2004
15 years 4 months ago
Spike Sorting: Bayesian Clustering of Non-Stationary Data
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
Aharon Bar-Hillel, Adam Spiro, Eran Stark
BMCBI
2005
198views more  BMCBI 2005»
15 years 3 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
ESCIENCE
2007
IEEE
15 years 9 months ago
Distributed and Generic Maximum Likelihood Evaluation
This paper presents GMLE 1 , a generic and distributed framework for maximum likelihood evaluation. GMLE is currently being applied to astroinformatics for determining the shape o...
Travis J. Desell, Nathan Cole, Malik Magdon-Ismail...
SEMWEB
2001
Springer
15 years 7 months ago
A Scalable Framework for the Interoperation of Information Sources
Resolving heterogeneity among information systems is a crucial necessity if we wish to gain value from the many distributed resources available to us. Problems of heterogeneity in ...
Prasenjit Mitra, Gio Wiederhold, Stefan Decker