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» Using Goal-Models to Analyze Variability
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BMCBI
2006
130views more  BMCBI 2006»
13 years 7 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
CVPR
2005
IEEE
14 years 9 months ago
Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...
Parvez Ahammad, Cyrus L. Harmon, Ann Hammonds, Sha...
WSC
2004
13 years 8 months ago
A Data Warehouse Environment for Storing and Analyzing Simulation Output Data
Discrete event simulation modelling has been extensively used in modelling complex systems. Although it offers great conceptual-modelling flexibility, it is both computationally e...
Christos Vasilakis, Elia El-Darzi, Panagiotis Chou...
EPS
1998
Springer
13 years 11 months ago
Variable-Dimensional Optimization with Evolutionary Algorithms Using Fixed-Length Representations
This paper discusses a simple representation of variable-dimensional optimization problems for evolutionary algorithms. Although it was successfully applied to the optimization of ...
Joachim Sprave, Susanne Rolf
AAAI
2008
13 years 9 months ago
Learning to Analyze Binary Computer Code
We present a novel application of structured classification: identifying function entry points (FEPs, the starting byte of each function) in program binaries. Such identification ...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller...