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» Ontology Based Analysis of Experimental Data
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AIIA
2009
Springer
14 years 4 months ago
Ontology-Driven Co-clustering of Gene Expression Data
Abstract. The huge volume of gene expression data produced by microarrays and other high-throughput techniques has encouraged the development of new computational techniques to eva...
Francesca Cordero, Ruggero G. Pensa, Alessia Visco...
ISSTA
2007
ACM
13 years 11 months ago
Experimental assessment of random testing for object-oriented software
Progress in testing requires that we evaluate the effectiveness of testing strategies on the basis of hard experimental evidence, not just intuition or a priori arguments. Random ...
Ilinca Ciupa, Andreas Leitner, Manuel Oriol, Bertr...
SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 9 months ago
How experimental algorithmics can benefit from Mayo's extensions to Neyman-Pearson theory of testing
Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Exp...
Thomas Bartz-Beielstein
BMCBI
2006
147views more  BMCBI 2006»
13 years 10 months ago
Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...
Alex Lewin, Ian C. Grieve
CATA
2010
13 years 11 months ago
Utilization of Modified CoreGRID Ontology in an Agent-based Grid Resource Management System
The Agents in Grid project is devoted to the development of an agent-based intelligent high-level Grid middleware. In the proposed system, all data processing is ontology-driven, ...
Marcin Paprzycki, Michal Drozdowicz, Maria Ganzha,...