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» Analysis of Microarray Titration Experiments
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CCE
2005
15 years 8 days ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
96
Voted
BMCBI
2006
131views more  BMCBI 2006»
15 years 13 days ago
The statistics of identifying differentially expressed genes in Expresso and TM4: a comparison
Background: Analysis of DNA microarray data takes as input spot intensity measurements from scanner software and returns differential expression of genes between two conditions, t...
Allan A. Sioson, Shrinivasrao P. Mane, Pinghua Li,...
98
Voted
BMCBI
2007
104views more  BMCBI 2007»
15 years 15 days ago
Joint mapping of genes and conditions via multidimensional unfolding analysis
Background: Microarray compendia profile the expression of genes in a number of experimental conditions. Such data compendia are useful not only to group genes and conditions base...
Katrijn Van Deun, Kathleen Marchal, Willem J. Heis...
BIOINFORMATICS
2002
123views more  BIOINFORMATICS 2002»
15 years 6 days ago
Making sense of microarray data distributions
Motivation: Typical analysis of microarray data has focused on spot by spot comparisons within a single organism. Less analysis has been done on the comparison of the entire distr...
David C. Hoyle, Magnus Rattray, Ray Jupp, Andy Bra...
BMCBI
2004
161views more  BMCBI 2004»
15 years 7 days ago
Three-parameter lognormal distribution ubiquitously found in cDNA microarray data and its application to parametric data treatme
Background: To cancel experimental variations, microarray data must be normalized prior to analysis. Where an appropriate model for statistical data distribution is available, a p...
Tomokazu Konishi