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» Classification of microarray data using gene networks
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CMSB
2004
Springer
15 years 3 months ago
Residual Bootstrapping and Median Filtering for Robust Estimation of Gene Networks from Microarray Data
We propose a robust estimation method of gene networks based on microarray gene expression data. It is well-known that microarray data contain a large amount of noise and some outl...
Seiya Imoto, Tomoyuki Higuchi, SunYong Kim, Euna J...
BIBE
2007
IEEE
153views Bioinformatics» more  BIBE 2007»
15 years 1 months ago
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
—DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
Juliette Blanchet, Matthieu Vignes
67
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CSB
2005
IEEE
121views Bioinformatics» more  CSB 2005»
15 years 5 months ago
K-means+ Method for Improving Gene Selection for Classification of Microarray Data
Heng Huang, Rong Zhang, Fei Xiong, Fillia Makedon,...
BMCBI
2006
239views more  BMCBI 2006»
14 years 11 months ago
Applying dynamic Bayesian networks to perturbed gene expression data
Background: A central goal of molecular biology is to understand the regulatory mechanisms of gene transcription and protein synthesis. Because of their solid basis in statistics,...
Norbert Dojer, Anna Gambin, Andrzej Mizera, Bartek...