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» Classification of microarray data using gene networks
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BMCBI
2005
104views more  BMCBI 2005»
15 years 3 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences imm...
Franck Picard, Stéphane Robin, Marc Laviell...
133
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BMCBI
2006
139views more  BMCBI 2006»
15 years 3 months ago
Integrated functional visualization of eukaryotic genomes
Background: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plot...
Rohit Ghai, Hannes Lindemann, Trinad Chakraborty
127
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CEC
2005
IEEE
15 years 9 months ago
Clustering-based approach to identify solutions for the inference of regulatory networks
Abstract- In this paper we address the problem of finding valid solutions for the problem of inferring gene regulatory networks. Different approaches to directly infer the depende...
Christian Spieth, Felix Streichert, Nora Speer, An...
142
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BMCBI
2010
111views more  BMCBI 2010»
15 years 3 months ago
Functional Analysis: Evaluation of Response Intensities - Tailoring ANOVA for Lists of Expression Subsets
Background: Microarray data is frequently used to characterize the expression profile of a whole genome and to compare the characteristics of that genome under several conditions....
Fabrice Berger, Bertrand De Meulder, Anthoula Gaig...
KES
2006
Springer
15 years 3 months ago
Neural Network Classification of Diesel Spray Images
This paper describes an evaluation of a neural network technique for modelling fuel spray penetration in the cylinder of a diesel internal combustion engine. The model was implemen...
Simon D. Walters, Shaun H. Lee, Cyril Crua, Robert...