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» Algorithms for Finding Gene Clusters
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RECOMB
2002
Springer
16 years 3 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
BMCBI
2008
133views more  BMCBI 2008»
15 years 3 months ago
A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
Background: Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible f...
Luca Corradi, Marco Fato, Ivan Porro, Silvia Scagl...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
15 years 4 months ago
Robust Clustering in Arbitrarily Oriented Subspaces
In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...
Elke Achtert, Christian Böhm, Jörn David...
144
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SADM
2008
165views more  SADM 2008»
15 years 2 months ago
Global Correlation Clustering Based on the Hough Transform
: In this article, we propose an efficient and effective method for finding arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set o...
Elke Achtert, Christian Böhm, Jörn David...
BIOCOMP
2008
15 years 5 months ago
Prediction of Protein Function Using Graph Container and Message Passing
We introduce a novel parameter called container flux, which is used to measure the information sharing capacity between two distinct nodes in a graph. Other useful information, bot...
Hongbo Zhou, Qiang Shawn Cheng, Mehdi Zargham