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» The statistical significance of the MUC-4 results
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106
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BMCBI
2005
89views more  BMCBI 2005»
15 years 21 days ago
MILANO - custom annotation of microarray results using automatic literature searches
Background: High-throughput genomic research tools are becoming standard in the biologist's toolbox. After processing the genomic data with one of the many available statisti...
Ran Rubinstein, Itamar Simon
132
Voted
BMCBI
2008
122views more  BMCBI 2008»
15 years 27 days ago
Reconstructing networks of pathways via significance analysis of their intersections
Background: Significance analysis at single gene level may suffer from the limited number of samples and experimental noise that can severely limit the power of the chosen statist...
Mirko Francesconi, Daniel Remondini, Nicola Nerett...
113
Voted
ESANN
2008
15 years 2 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
134
Voted
BMCBI
2010
153views more  BMCBI 2010»
15 years 27 days ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
97
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KAIS
2008
81views more  KAIS 2008»
15 years 23 days ago
Maximum entropy based significance of itemsets
We consider the problem of defining the significance of an itemset. We say that the itemset is significant if we are surprised by its frequency when compared to the frequencies of ...
Nikolaj Tatti