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» Using Bayesian networks to analyze expression data
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BMCBI
2010
136views more  BMCBI 2010»
14 years 10 months ago
Bias correction and Bayesian analysis of aggregate counts in SAGE libraries
Background: Tag-based techniques, such as SAGE, are commonly used to sample the mRNA pool of an organism's transcriptome. Incomplete digestion during the tag formation proces...
Russell L. Zaretzki, Michael A. Gilchrist, William...
FUIN
2002
123views more  FUIN 2002»
14 years 9 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
BMCBI
2008
134views more  BMCBI 2008»
14 years 10 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
DSN
2008
IEEE
15 years 4 months ago
Analyzing the effects of disk-pointer corruption
The long-term availability of data stored in a file system depends on how well it safeguards on-disk pointers used to access the data. Ideally, a system would correct all pointer...
Lakshmi N. Bairavasundaram, Meenali Rungta, Nitin ...
TCBB
2008
116views more  TCBB 2008»
14 years 9 months ago
Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria
Recently, the concept of mutual information has been proposed for inferring the structure of genetic regulatory networks from gene expression profiling. After analyzing the limitat...
Wentao Zhao, Erchin Serpedin, Edward R. Dougherty