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BIBE
2007
IEEE
153views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
—DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
Juliette Blanchet, Matthieu Vignes
191
Voted
BMCBI
2010
214views more  BMCBI 2010»
15 years 6 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
JIRS
2000
144views more  JIRS 2000»
15 years 6 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
DESRIST
2009
Springer
137views Education» more  DESRIST 2009»
15 years 10 months ago
Situational method engineering for governance, risk and compliance information systems
Against the background of the current financial crisis and an aftermath of increasing regulation, companies enhance and integrate information systems in the areas of risk manageme...
Anke Gericke, Hans-Georg Fill, Dimitris Karagianni...
ICML
2009
IEEE
16 years 7 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji