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» Regulation probability method for gene selection
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196
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PRL
2006
101views more  PRL 2006»
15 years 6 months ago
Regulation probability method for gene selection
This paper proposes a novel method for gene selection. In the method, the gene regulation, an important mechanism of gene activities, is first introduced, and then the probabiliti...
Hong-Qiang Wang, De-Shuang Huang
BMCBI
2007
112views more  BMCBI 2007»
15 years 6 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
191
Voted
BMCBI
2005
121views more  BMCBI 2005»
15 years 6 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
204
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BMCBI
2008
166views more  BMCBI 2008»
15 years 6 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
162
Voted
CSB
2004
IEEE
106views Bioinformatics» more  CSB 2004»
15 years 10 months ago
A Theoretical Analysis of Gene Selection
A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data (`gene selection'). Numerous gene selecti...
Sach Mukherjee, Stephen J. Roberts