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» Using Bayesian networks to analyze expression data
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DSP
2007
14 years 10 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
BMCBI
2007
101views more  BMCBI 2007»
14 years 10 months ago
Gene expression changes induced by the tumorigenic pyrrolizidine alkaloid riddelliine in liver of Big Blue rats
Background: Pyrrolizidine alkaloids (PAs) are probably the most common plant constituents that poison livestock, wildlife, and humans worldwide. Riddelliine is isolated from plant...
Nan Mei, Lei Guo, Ruqing Liu, James C. Fuscoe, Tao...
BMCBI
2008
121views more  BMCBI 2008»
14 years 10 months ago
Modularization of biochemical networks based on classification of Petri net t-invariants
Background: Structural analysis of biochemical networks is a growing field in bioinformatics and systems biology. The availability of an increasing amount of biological data from ...
Eva Grafahrend-Belau, Falk Schreiber, Monika Heine...
IFIP12
2009
14 years 7 months ago
Unification of Heterogeneous Data Towards the Prediction of Oral Cancer Reoccurrence
Oral cancer is the predominant neoplasm of the head and neck. Annually, more than 500.000 new cases of oral cancer are reported, worldwide. After the initial treatment of cancer an...
Costas P. Exarchos, Yorgos Goletsis, Dimitrios I. ...
SIGMOD
2010
ACM
211views Database» more  SIGMOD 2010»
15 years 2 months ago
ERACER: a database approach for statistical inference and data cleaning
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
Chris Mayfield, Jennifer Neville, Sunil Prabhakar