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» Evaluation of clustering algorithms for gene expression data
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ESCIENCE
2007
IEEE
16 years 1 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...
DSS
2007
127views more  DSS 2007»
15 years 6 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
BMCBI
2006
116views more  BMCBI 2006»
15 years 6 months ago
Cluster analysis for DNA methylation profiles having a detection threshold
Background: DNA methylation, a molecular feature used to investigate tumor heterogeneity, can be measured on many genomic regions using the MethyLight technology. Due to the combi...
Paul Marjoram, Jing Chang, Peter W. Laird, Kimberl...
CEC
2009
IEEE
16 years 1 months ago
A Bacterial Evolutionary Algorithm for automatic data clustering
This paper describes an evolutionary clustering algorithm, which can partition a given dataset automatically into the optimal number of groups through one shot of optimization. The...
Swagatam Das, Archana Chowdhury, Ajith Abraham
AIME
2005
Springer
15 years 8 months ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim