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ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 3 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
BMCBI
2008
171views more  BMCBI 2008»
13 years 5 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
BMCBI
2008
171views more  BMCBI 2008»
13 years 5 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri
BMCBI
2008
115views more  BMCBI 2008»
13 years 5 months ago
Systems biology driven software design for the research enterprise
Background: In systems biology, and many other areas of research, there is a need for the interoperability of tools and data sources that were not originally designed to be integr...
John Boyle, Christopher C. Cavnor, Sarah A. Killco...
CLADE
2008
IEEE
13 years 11 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens