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» Using Bayesian networks to analyze expression data
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EDOC
2009
IEEE
15 years 1 months ago
Enterprise Architecture Analysis for Data Accuracy Assessments
- Poor data in information systems impede the quality of decision-making in many modern organizations. Manual business process activities and application services are never execute...
Per Närman, Pontus Johnson, Mathias Ekstedt, ...
BMCBI
2010
167views more  BMCBI 2010»
14 years 10 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
CVPR
2007
IEEE
16 years 2 days ago
Online Spatial-temporal Data Fusion for Robust Adaptive Tracking
One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target...
Jixu Chen, Qiang Ji
BMCBI
2006
151views more  BMCBI 2006»
14 years 10 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
BMCBI
2007
129views more  BMCBI 2007»
14 years 10 months ago
Inferring cellular networks - a review
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
Florian Markowetz, Rainer Spang