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» Expressiveness of graph conditions with variables
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CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 2 months ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
ECAI
2004
Springer
14 years 3 months ago
Consistency and Constrained Optimisation for Conditional Preferences
TCP-nets are an extension of CP-nets which allow the expression of conditional relative importance of pairs of variables. In this paper it is shown that a simple logic of condition...
Nic Wilson
ESANN
2007
13 years 11 months ago
Exploring the causal order of binary variables via exponential hierarchies of Markov kernels
Abstract. We propose a new algorithm for estimating the causal structure that underlies the observed dependence among n (n ≥ 4) binary variables X1, . . . , Xn. Our inference pri...
Xiaohai Sun, Dominik Janzing
BMCBI
2008
138views more  BMCBI 2008»
13 years 10 months ago
Novel implementation of conditional co-regulation by graph theory to derive co-expressed genes from microarray data
Background: Most existing transcriptional databases like Comprehensive Systems-Biology Database (CSB.DB) and Arabidopsis Microarray Database and Analysis Toolbox (GENEVESTIGATOR) ...
Arun Rawat, Georg J. Seifert, Youping Deng
GG
2004
Springer
14 years 3 months ago
Parallel Independence in Hierarchical Graph Transformation
Abstract. Hierarchical graph transformation as defined in [1, 2] extends double-pushout graph transformation in the spirit of term rewriting: Graphs are provided with hierarchical...
Annegret Habel, Berthold Hoffmann