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ICML
2004
IEEE
14 years 5 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
14 years 5 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
BMCBI
2010
161views more  BMCBI 2010»
13 years 2 months ago
Application of Wavelet Packet Transform to detect genetic polymorphisms by the analysis of inter-Alu PCR patterns
Background: The analysis of Inter-Alu PCR patterns obtained from human genomic DNA samples is a promising technique for a simultaneous analysis of many genomic loci flanked by Alu...
Maurizio Cardelli, Matteo Nicoli, Armando Bazzani,...
BMCBI
2006
116views more  BMCBI 2006»
13 years 5 months ago
Whole genome association mapping by incompatibilities and local perfect phylogenies
Background: With current technology, vast amounts of data can be cheaply and efficiently produced in association studies, and to prevent data analysis to become the bottleneck of ...
Thomas Mailund, Søren Besenbacher, Mikkel H...
BMCBI
2002
195views more  BMCBI 2002»
13 years 4 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...