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» A Multi-metric Similarity Based Analysis of Microarray Data
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BMCBI
2006
153views more  BMCBI 2006»
14 years 12 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
MMS
2006
14 years 11 months ago
Evaluation and analysis of similarity measures for content-based visual information retrieval
The selection of appropriate proximity measures is one of the crucial success factors of content-based visual information retrieval. In this area of research, proximity measures ar...
Horst Eidenberger
BMCBI
2011
14 years 6 months ago
Appearance frequency modulated gene set enrichment testing
Background: Gene set enrichment testing has helped bridge the gap from an individual gene to a systems biology interpretation of microarray data. Although gene sets are defined a ...
Jun Ma, Maureen A. Sartor, H. V. Jagadish
BIOCOMP
2006
15 years 1 months ago
A Heuristic Approach to Scoring Gene Clustering Algorithms
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
Longde Yin, Chun-Hsi Huang
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BMCBI
2007
138views more  BMCBI 2007»
14 years 12 months ago
A full Bayesian hierarchical mixture model for the variance of gene differential expression
Background: In many laboratory-based high throughput microarray experiments, there are very few replicates of gene expression levels. Thus, estimates of gene variances are inaccur...
Samuel O. M. Manda, Rebecca E. Walls, Mark S. Gilt...