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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 11 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
BMCBI
2010
113views more  BMCBI 2010»
15 years 5 months ago
ProbABEL package for genome-wide association analysis of imputed data
Background: Over the last few years, genome-wide association (GWA) studies became a tool of choice for the identification of loci associated with complex traits. Currently, impute...
Yurii S. Aulchenko, Maksim V. Struchalin, Cornelia...
CSB
2004
IEEE
154views Bioinformatics» more  CSB 2004»
15 years 9 months ago
Multi-Knockout Genetic Network Analysis: The Rad6 Example
A novel and rigorous Multi-perturbation Shapley Value Analysis (MSA) method has been recently presented [12]. The method addresses the challenge of defining and calculating the fu...
Alon Kaufman, Martin Kupiec, Eytan Ruppin
BMCBI
2004
156views more  BMCBI 2004»
15 years 5 months ago
GeneXplorer: an interactive web application for microarray data visualization and analysis
Background: When publishing large-scale microarray datasets, it is of great value to create supplemental websites where either the full data, or selected subsets corresponding to ...
Christian A. Rees, Janos Demeter, John C. Matese, ...
ICML
2003
IEEE
16 years 6 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty