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» Gene networks inference using dynamic Bayesian networks
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BMCBI
2010
172views more  BMCBI 2010»
15 years 4 months ago
Comparison of evolutionary algorithms in gene regulatory network model inference
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
Alina Sîrbu, Heather J. Ruskin, Martin Crane
TCSV
2008
161views more  TCSV 2008»
15 years 4 months ago
Dynamic Facial Expression Analysis and Synthesis With MPEG-4 Facial Animation Parameters
This paper describes a probabilistic framework for faithful reproduction of dynamic facial expressions on a synthetic face model with MPEG-4 facial animation parameters (FAPs) whil...
Yongmian Zhang, Qiang Ji, Zhiwei Zhu, Beifang Yi
166
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CBMS
2007
IEEE
15 years 11 months ago
Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Stefan Wermter
IJCAI
2007
15 years 6 months ago
Integration of Hybrid Bio-Ontologies using Bayesian Networks for Knowledge Discovery
This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
Kenneth McGarry, Sheila Garfield, Nick Morris, Ste...
RSFDGRC
2005
Springer
134views Data Mining» more  RSFDGRC 2005»
15 years 10 months ago
The Computational Complexity of Inference Using Rough Set Flow Graphs
Pawlak recently introduced rough set flow graphs (RSFGs) as a graphical framework for reasoning from data. Each rule is associated with three coefficients, which have been shown t...
Cory J. Butz, Wen Yan, Boting Yang