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» Knowledge-based data analysis and interpretation
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JDA
2011
104views more  JDA 2011»
14 years 5 months ago
Deconstructing intractability - A multivariate complexity analysis of interval constrained coloring
The NP-hard Interval Constrained Coloring (ICC) problem appears in the interpretation of experimental data in biochemistry dealing with protein fragments. Given a set of m integer...
Christian Komusiewicz, Rolf Niedermeier, Johannes ...
BMCBI
2006
147views more  BMCBI 2006»
14 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
AIPR
2004
IEEE
15 years 1 months ago
Feasibility Study for the Development of a Motion Imagery Quality Metric
The motion imagery community would benefit from the availability of standard measures for assessing image interpretability. The National Imagery Interpretability Rating Scale (NII...
John M. Irvine, Charles Fenimore, David M. Cannon,...
IEAAIE
2000
Springer
15 years 1 months ago
Dynamic Data Mining
Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of tradition...
Vijay V. Raghavan, Aladdin Hafez
JIB
2006
110views more  JIB 2006»
14 years 10 months ago
Combining biomedical knowledge and transcriptomic data to extract new knowledge on genes
In biomedical research, interpretation of microarray data requires confrontation of data and knowledge from heterogeneous resources, either in the biomedical domain or in genomics...
Emilie Guérin, Gwenaëlle Marquet, Juli...