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» Using Formal Concept Analysis for Microarray Data Comparison
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ISBRA
2007
Springer
14 years 1 months ago
A Bootstrap Correspondence Analysis for Factorial Microarray Experiments with Replications
Characterized by simultaneous measurement of the effects of experimental factors and their interactions, the economic and efficient factorial design is well accepted in microarray ...
Qihua Tan, Jesper Dahlgaard, Basem M. Abdallah, We...
BMCBI
2006
199views more  BMCBI 2006»
13 years 7 months ago
PageMan: An interactive ontology tool to generate, display, and annotate overview graphs for profiling experiments
Background: Microarray technology has become a widely accepted and standardized tool in biology. The first microarray data analysis programs were developed to support pair-wise co...
Björn Usadel, Axel Nagel, Dirk Steinhauser, Y...
BMCBI
2010
112views more  BMCBI 2010»
13 years 7 months ago
Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships
Background: The large amount of high-throughput genomic data has facilitated the discovery of the regulatory relationships between transcription factors and their target genes. Wh...
Junhee Seok, Amit Kaushal, Ronald W. Davis, Wenzho...
BMCBI
2007
194views more  BMCBI 2007»
13 years 7 months ago
A meta-data based method for DNA microarray imputation
Background: DNA microarray experiments are conducted in logical sets, such as time course profiling after a treatment is applied to the samples, or comparisons of the samples unde...
Rebecka Jörnsten, Ming Ouyang, Hui-Yu Wang
BMCBI
2005
112views more  BMCBI 2005»
13 years 7 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...