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Serial Analysis of Gene Expression

SAGE,Serial Analysis of Gene Expression,Serial Analysis of Gene Expressions

Serial Analysis of Gene Expression - SAGE
Publications: 909| Citation Count: 20,327
Stemming Variations: Serial Analysis of Gene Expressions
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    • Serial Analysis of Gene Expression (SAGE) is a technique for estimating the gene expression prole of a biological sample. Any ecien t inference in SAGE must be based upon ecien t estimates of these gene expression proles, which consist of the estimated relative abundances for each mRNA species present in the sample...

    Jerey S. Morriset al. Shrinkage Estimation for SAGE Data using a Mixture Dirichlet Prior

    • Serial Analysis of Gene Expression (SAGE) is a method that allows the quantitative and simultaneous analysis of the whole gene function of a cell...

    George Tzaniset al. Mining High Quality Clusters of SAGE Data

    • Serial Analysis of Gene Expression (SAGE) is a powerful expression profiling method, allowing the analysis of the expression of thousands of transcripts simultaneously. A disadvantage of the method, however, is the relatively high amount of input RNA required...

    N. A. Datsonet al. MicroSAGE: a modified procedure for serial analysis of gene expression...

    • The serial analysis of gene expression (SAGE) is a powerful method to compare gene expression of mRNA populations. To provide quantitative expression levels on a genome-wide scale, the Cancer Genome Anatomy Project (CGAP) uses SAGE. Over 7 million SAGE tags, from 171 human cell types have beenassembled.Thegrowingnumberoflaboratories involved in SAGE research necessitates the use of software that provides statistical analysis of raw data, allowing the rapid visualization and interpretation of results...

    Jean Pylousteret al. WEBSAGE: a web tool for visual analysis of differentially expressed hu...

    • Serial analysis of gene expression (SAGE) is a powerful technique for global gene expression profiling, allowing simultaneous analysis of thousands of transcripts without prior structural and functional knowledge. Pattern discovery and visualization have become fundamental approaches to analyzing such large-scale gene expression data...

    Haiying Wanget al. Poisson-Based Self-Organizing Feature Maps and Hierarchical Clustering...

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