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» Disease Modeling Using Evolved Discriminate Function
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BMCBI
2004
180views more  BMCBI 2004»
13 years 9 months ago
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
JBI
2007
122views Bioinformatics» more  JBI 2007»
13 years 9 months ago
A framework for information system usage in collaborative care
Clinical information systems (CIS) can affect the quality of patient care. In this paper, we focus on CIS use in the collaborative treatment of chronic diseases. We have develope...
David A. Dorr, Spencer S. Jones, Adam B. Wilcox
ICLP
2010
Springer
14 years 1 months ago
Using Generalized Annotated Programs to Solve Social Network Optimization Problems
Abstract. Reasoning about social networks (labeled, directed, weighted graphs) is becoming increasingly important and there are now models of how certain phenomena (e.g. adoption o...
Paulo Shakarian, V. S. Subrahmanian, Maria Luisa S...
CIBCB
2008
IEEE
14 years 4 months ago
Classification of mouse fRNA 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
ROBOCUP
2004
Springer
114views Robotics» more  ROBOCUP 2004»
14 years 3 months ago
Evolutionary Gait-Optimization Using a Fitness Function Based on Proprioception
Abstract. This paper presents a new approach to optimize gait parameter sets using evolutionary algorithms. It separates the crossover-step of the evolutionary algorithm into an in...
Thomas Röfer