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BMCBI
2010
108views more  BMCBI 2010»
13 years 7 months ago
Error, reproducibility and sensitivity : a pipeline for data processing of Agilent oligonucleotide expression arrays
Background: Expression microarrays are increasingly used to obtain large scale transcriptomic information on a wide range of biological samples. Nevertheless, there is still much ...
Benjamin Chain, Helen Bowen, John Hammond, Wilfrie...
UAI
2003
13 years 9 months ago
Large-Sample Learning of Bayesian Networks is NP-Hard
In this paper, we provide new complexity results for algorithms that learn discrete-variable Bayesian networks from data. Our results apply whenever the learning algorithm uses a ...
David Maxwell Chickering, Christopher Meek, David ...
CEC
2009
IEEE
14 years 2 months ago
Coevolution of simulator proxies and sampling strategies for petroleum reservoir modeling
— Reservoir modeling is an on-going activity during the production life of a reservoir. One challenge to constructing accurate reservoir models is the time required to carry out ...
Tina Yu, Dave Wilkinson
BMCBI
2007
148views more  BMCBI 2007»
13 years 7 months ago
Blast sampling for structural and functional analyses
Background: The post-genomic era is characterised by a torrent of biological information flooding the public databases. As a direct consequence, similarity searches starting with ...
Anne Friedrich, Raymond Ripp, Nicolas Garnier, Emm...
PR
2008
102views more  PR 2008»
13 years 7 months ago
Classification in an informative sample subspace
We have developed an informative sample subspace (ISS) method that is suitable for projecting high-dimensional data onto a low-dimensional subspace for classification purposes. In...
Guoping Qiu, Jianzhong Fang