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» Sources of Variability in MEG
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BMCBI
2006
130views more  BMCBI 2006»
14 years 9 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. ...
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BMCBI
2007
132views more  BMCBI 2007»
14 years 9 months ago
Analysis of probe level patterns in Affymetrix microarray data
Background: Microarrays have been used extensively to analyze the expression profiles for thousands of genes in parallel. Most of the widely used methods for analyzing Affymetrix ...
Alexander C. Cambon, Abdelnaby Khalyfa, Nigel G. F...
RV
2010
Springer
177views Hardware» more  RV 2010»
14 years 8 months ago
Runtime Instrumentation for Precise Flow-Sensitive Type Analysis
We describe a combination of runtime information and static analysis for checking properties of complex and configurable systems. The basic idea of our approach is to 1) let the p...
Etienne Kneuss, Philippe Suter, Viktor Kuncak
BMCBI
2011
14 years 1 months ago
Acorn: A grid computing system for constraint based modeling and visualization of the genome scale metabolic reaction networks v
Background: Constraint-based approaches facilitate the prediction of cellular metabolic capabilities, based, in turn on predictions of the repertoire of enzymes encoded in the gen...
Jacek Sroka, Lukasz Bieniasz-Krzywiec, Szymon Gwoz...
SIGSOFT
2003
ACM
15 years 10 months ago
ARCHER: using symbolic, path-sensitive analysis to detect memory access errors
Memory corruption errors lead to non-deterministic, elusive crashes. This paper describes ARCHER (ARray CHeckER) a static, effective memory access checker. ARCHER uses path-sensit...
Yichen Xie, Andy Chou, Dawson R. Engler