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» Data Mining for Genetics: A Genetic Algorithm Approach
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IJCNN
2006
IEEE
15 years 11 months ago
Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks
Abstract— This paper presents the use of a newly created network structure known as a Self-Delaying Dynamic Network (SDN). The SDNs were created to process data which varies with...
Lewis Eric Hibell, Honghai Liu, David J. Brown
117
Voted
CSB
2005
IEEE
151views Bioinformatics» more  CSB 2005»
15 years 10 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...
177
Voted
BIOCOMP
2007
15 years 6 months ago
Biomarker Discovery Across Annotated and Unannotated Microarray Datasets Using Semi-Supervised Learning
The growing body of DNA microarray data has the potential to advance our understanding of the molecular basis of disease. However annotating microarray datasets with clinically us...
Cole Harris, Noushin Ghaffari
HAIS
2009
Springer
15 years 8 months ago
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness
Abstract. Data Mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binaryvalued transactions, however the d...
Nicolò Flugy Papè, Jesús Alca...
GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
15 years 11 months ago
Variable discrimination of crossover versus mutation using parameterized modular structure
Recent work has provided functions that can be used to prove a principled distinction between the capabilities of mutation-based and crossover-based algorithms. However, prior fun...
Rob Mills, Richard A. Watson