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» Unfolding of Microarray Data
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WILF
2005
Springer
194views Fuzzy Logic» more  WILF 2005»
14 years 1 months ago
Learning Bayesian Classifiers from Gene-Expression MicroArray Data
Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
Andrea Bosin, Nicoletta Dessì, Diego Libera...
JBI
2006
107views Bioinformatics» more  JBI 2006»
13 years 8 months ago
Knowledge guided analysis of microarray data
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
Zhuo Fang, Jiong Yang, Yixue Li, Qing-ming Luo, Le...
BMCBI
2005
103views more  BMCBI 2005»
13 years 8 months ago
Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery
Background: Molecular profiling generates abundance measurements for thousands of gene transcripts in biological samples such as normal and tumor tissues (data points). Given such...
Leslie Grate
BMCBI
2008
193views more  BMCBI 2008»
13 years 8 months ago
Missing value imputation for microarray gene expression data using histone acetylation information
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
Qian Xiang, Xianhua Dai, Yangyang Deng, Caisheng H...
BMCBI
2008
98views more  BMCBI 2008»
13 years 8 months ago
Assessing probe-specific dye and slide biases in two-color microarray data
Background: A primary reason for using two-color microarrays is that the use of two samples labeled with different dyes on the same slide, that bind to probes on the same spot, is...
Ruixiao Lu, Geun-Cheol Lee, Michael Shultz, Chris ...