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» Disease Modeling Using Evolved Discriminate Function
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BMCBI
2005
201views more  BMCBI 2005»
13 years 5 months ago
A comparative study of discriminating human heart failure etiology using gene expression profiles
Background: Human heart failure is a complex disease that manifests from multiple genetic and environmental factors. Although ischemic and non-ischemic heart disease present clini...
Xiaohong Huang, Wei Pan, Suzanne Grindle, Xinqiang...
GECCO
2003
Springer
127views Optimization» more  GECCO 2003»
13 years 10 months ago
Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data
Abstract. Our ability to simultaneously measure the expression levels of thousands of genes in biological samples is providing important new opportunities for improving the diagnos...
David M. Reif, Bill C. White, Nancy Olsen, Thomas ...
CIBCB
2005
IEEE
13 years 11 months ago
Identification of Functional RNA Genes Using Evolved Neural Networks
Functional RNAs (fRNAs) play a key role in gene regulation, at both the transcriptional and translational levels. Identification of fRNA genes can be difficult, given that some cla...
Mars Cheung, Gary B. Fogel
ISI
2006
Springer
13 years 5 months ago
Spatial-Temporal Cross-Correlation Analysis: A New Measure and a Case Study in Infectious Disease Informatics
This paper aims to develop a new statistical measure to identify significant correlations among multiple events with spatial and temporal components. This new measure, ( , )K r t ,...
Jian Ma, Daniel Dajun Zeng, Hsinchun Chen
BMCBI
2007
194views more  BMCBI 2007»
13 years 5 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung