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» Using Bayesian networks to analyze expression data
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ISNN
2004
Springer
15 years 3 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...
CVPR
2009
IEEE
16 years 5 months ago
Recognizing Linked Events: Searching the Space of Feasible Explanations
The ambiguity inherent in a localized analysis of events from video can be resolved by exploiting constraints between events and examining only feasible global explanations. We sho...
Dima Damen (University of Leeds), David Hogg (Univ...
ARTMED
2004
118views more  ARTMED 2004»
14 years 10 months ago
Bayesian fluorescence in situ hybridisation signal classification
Previous research has indicated the significance of accurate classification of fluorescence in situ hybridisation (FISH) signals for the detection of genetic abnormalities. Based ...
Boaz Lerner
135
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BIRTHDAY
2010
Springer
14 years 6 months ago
QPME 2.0 - A Tool for Stochastic Modeling and Analysis Using Queueing Petri Nets
Abstract Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and analyzing their performance and scalability. By combining the model...
Samuel Kounev, Simon Spinner, Philipp Meier

Lecture Notes
439views
16 years 8 months ago
Laboratories for Data Communications and Computer Networking
This is a series of laboratory exercises designed for use in data communication, computer networking and telecommunication courses. These labs enable students to experiment with va...
Raj Jain