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BMCBI
2007
146views more  BMCBI 2007»
13 years 9 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
BMCBI
2008
129views more  BMCBI 2008»
13 years 9 months ago
An analytic and systematic framework for estimating metabolic flux ratios from 13C tracer experiments
Background: Metabolic fluxes provide invaluable insight on the integrated response of a cell to environmental stimuli or genetic modifications. Current computational methods for e...
Ari Rantanen, Juho Rousu, Paula Jouhten, Nicola Za...
ICCV
2009
IEEE
15 years 2 months ago
Efficient subset selection based on the Renyi entropy
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
CG
2004
Springer
13 years 9 months ago
ANTS--Augmented Environments
When interacting with natural or urban environments there are many situations where the ability to access data in real time becomes relevant. Augmented Reality (AR) technologies a...
Teresa Romão, Nuno Correia, A. Eduardo Dias...
IDA
2011
Springer
13 years 4 months ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May