Searching for "Microarray Gene Expression Data Analysis." – sorted by Relevance.
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Analysis of microarray gene expression data
- Analysis of Microarray Gene Expression Data Tuan D. Pham *,1,2 , Christine Wells 3,4 and Denis I
- Cited by 4 (0 self) – Add To MetaCart
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SemBiosphere: A Semantic Web Approach to Recommending Microarray Clustering Services
- to microarray gene expression data analysis. New algorithms can be incorporated into the system without too much
- Cited by 2 (1 self) – Add To MetaCart
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BioVLAB-Microarray: Microarray Data Analysis in Virtual Environment
- a virtual analysis system for microarray gene expression data in computing clouds with flexible
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Bayesian network and nonparametric heteroscedastic regression for nonlinear modeling of genetic network
- the progress of the microarray gene expression data analysis. That is to say, the information that we want
- Cited by 25 (15 self) – Add To MetaCart
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Vol. 23 no. 14 2007, pages 1843–1845 BIOINFORMATICS APPLICATIONS NOTE doi:10.1093/bioinformatics/btm238
- analysis of microarray gene expression data is to rationalizing, verifying and interpreting GO Term
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unknown title
- suite of programs for microarray gene expression data analysis (Herrero et al., 2003). We are currently
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A Unified Framework for Generalized Linear Discriminant Analysis
- involving high-dimensional data such as microarray gene expression data analysis, gene expression pattern
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Using Gene Ontology on genome-scale studies to find significant associations of biologically
- ://gepas.bioinfo.cnio.es), a suite of programs for microarray gene expression data analysis. Currently we are implementing
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Algebraic Biology 2005 19 Petri Net Based Description and Modeling of Biological Pathways
- and the pathway databases are also anticipated for microarray gene expression data analysis. A successful result
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A Tree Machine
- [29,30], cancer diagnosis [31–34], glaucoma diagnosis [35], microarray gene expression data analysis
- Cited by 3 (0 self) – Add To MetaCart

