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BMCBI
2007
126views more  BMCBI 2007»
14 years 9 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
COMPUTER
2002
89views more  COMPUTER 2002»
14 years 9 months ago
A Pattern for Softcoded Values
rs use models or abstractions that hide low-level implementation details. Various kinds of representations such as data models, state-transition models, and dataflow models can hel...
Michael R. Blaha, Cheryl Smith
SIGSOFT
2003
ACM
15 years 10 months ago
Behaviour model elaboration using partial labelled transition systems
State machine based formalisms such as labelled transition systems (LTS) are generally assumed to be complete descriptions m behaviour at some level of abstraction: if a labelled ...
Sebastián Uchitel, Jeff Kramer, Jeff Magee
TCBB
2011
14 years 4 months ago
Semantics and Ambiguity of Stochastic RNA Family Models
Stochastic models such as hidden Markov models or stochastic context free grammars can fail to return the correct, maximum likelihood solution in the case of semantic ambiguity. T...
Robert Giegerich, Christian Höner zu Siederdi...
CCS
2004
ACM
15 years 2 months ago
Comparing the expressive power of access control models
Comparing the expressive power of access control models is recognized as a fundamental problem in computer security. Such comparisons are generally based on simulations between di...
Mahesh V. Tripunitara, Ninghui Li