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» Genetic Algorithms for Component Analysis
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CSB
2005
IEEE
151views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Analysis of SNP-Expression Association Matrices
High throughput expression profiling and genotyping technologies provide the means to study the genetic determinants of population variation in gene expression variation. In this ...
Anya Tsalenko, Roded Sharan, Hege Edvardsen, Vesse...
147
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BIBE
2007
IEEE
208views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
The GPU on biomedical image processing for color and phenotype analysis
The computational power and memory bandwidth of graphics processing units (GPUs) have turned them into attractive platforms for general-purpose applications. In this paper, we expl...
Antonio Ruiz, Manuel Ujaldon, Jose Antonio Andrade...
129
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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 7 months ago
Memory analysis and significance test for agent behaviours
Many agent problems in a grid world have a restricted sensory information and motor actions. The environmental conditions need dynamic processing of internal memory. In this paper...
DaeEun Kim
ICPR
2010
IEEE
15 years 3 months ago
A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
141
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BMCBI
2010
146views more  BMCBI 2010»
15 years 3 months ago
Genomic selection and complex trait prediction using a fast EM algorithm applied to genome-wide markers
Background: The information provided by dense genome-wide markers using high throughput technology is of considerable potential in human disease studies and livestock breeding pro...
Ross K. Shepherd, Theo H. E. Meuwissen, John A. Wo...