3 search results - page 1 / 1 » Bounding the False Discovery Rate in Local Bayesian Network ... |
AAAI
2008
14 years 12 months ago
2008
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
BMCBI
2008
14 years 9 months ago
2008
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
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RECOMB
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Recent genome sequencing studies have shown that the somatic mutations that drive cancer development are distributed across a large number of genes. This mutational heter...