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» Classification of microarray data using gene networks
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CSB
2005
IEEE
139views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Predicting gene function by combining expression and interaction data
In this study we combined the spurious protein interaction data from the Database of Interacting Proteins with the recently published gene expression data of S. cerevisiae grown w...
Rogier J. P. van Berlo, Lodewyk F. A. Wessels, S. ...
143
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IV
2009
IEEE
141views Visualization» more  IV 2009»
15 years 10 months ago
Connecting Genes with Diseases
We present a visual data mining application using the combination of clinical data, pathways and biomolecular data. Using pathways to navigate and filter the clinical and molecula...
Heimo Müller, Robert Reihs, Stefan Sauer 0002...
147
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BMCBI
2010
147views more  BMCBI 2010»
15 years 3 months ago
Indirect two-sided relative ranking: a robust similarity measure for gene expression data
Background: There is a large amount of gene expression data that exists in the public domain. This data has been generated under a variety of experimental conditions. Unfortunatel...
Louis Licamele, Lise Getoor
166
Voted
BMCBI
2010
178views more  BMCBI 2010»
15 years 3 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
195
Voted
BMCBI
2005
169views more  BMCBI 2005»
15 years 3 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader