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» Evaluating Significance of Inconsistencies
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BMCBI
2007
147views more  BMCBI 2007»
13 years 7 months ago
Statistical significance of quantitative PCR
Background: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection...
Yann Karlen, Alan McNair, Sébastien Persegu...
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months 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...
AIPS
2004
13 years 8 months ago
An Empirical Analysis of Some Heuristic Features for Local Search in LPG
LPG is a planner that performed very well in the last International planning competition (2002). The system is based on a stochastic local search procedure, and it incorporates se...
Alfonso Gerevini, Alessandro Saetti, Ivan Serina
ISMDA
2000
Springer
13 years 11 months ago
Inconsistency Tests for Patient Records in a Coronary Heart Disease Database
Abstract. The work presents the results of inconsistency detection experiments on the data records of an atherosclerotic coronary heart disease database collected in the regular me...
Dragan Gamberger, Nada Lavrac, Goran Krstacic, Tom...
BMCBI
2005
110views more  BMCBI 2005»
13 years 7 months ago
Considerations when using the significance analysis of microarrays (SAM) algorithm
Background: Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments...
Ola Larsson, Claes Wahlestedt, James A. Timmons