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» Data Mining for Genetics: A Genetic Algorithm Approach
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BIBE
2007
IEEE
121views Bioinformatics» more  BIBE 2007»
14 years 3 months ago
Identifying Genomic Regulators of Set-Wise Co-Expression
The genetical genomics approach has been used to study the genetic basis of variation in gene expression, where putative transcriptional regulators of genes are identified via gene...
Jung Hoon Woo, Tian Zheng, Ju Han Kim
HIS
2008
13 years 10 months ago
Genetic-Based Synthetic Data Sets for the Analysis of Classifiers Behavior
In this paper, we highlight the use of synthetic data sets to analyze learners behavior under bounded complexity. We propose a method to generate synthetic data sets with a specif...
Núria Macià, Albert Orriols-Puig, Es...
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
14 years 1 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
KDD
2001
ACM
142views Data Mining» more  KDD 2001»
14 years 9 months ago
TreeDT: gene mapping by tree disequilibrium test
We introduce and evaluate TreeDT, a novel gene mapping method which is based on discovering and assessing tree-like patterns in genetic marker data. Gene mapping aims at discoveri...
Petteri Sevon, Hannu Toivonen, Vesa Ollikainen
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 2 months ago
Clustering with Niching Genetic K-means Algorithm
GA-based clustering algorithms often employ either simple GA, steady state GA or their variants and fail to consistently and efficiently identify high quality solutions (best known...
Weiguo Sheng, Allan Tucker, Xiaohui Liu