Causal discovery of gene regulation with incomplete data

Discovery of gene-regulation pathways using local causal search

This paper reports the methods and results of a computer-based algorithm that takes as input the expression levels of a set of genes as given by DNA microarray data, and then searches for causal pathways that represent how the genes regulate each other. The algorithm uses local heuristic search and a Bayesian scoring metric. We applied the algorithm to induce causal networks from a mixture of o...

The five-gene-network data analysis with local causal discovery algorithm using causal Bayesian networks.

Using microarray experiments, we can model causal relationships of genes measured through mRNA expression levels. To this end, it is desirable to compare experiments of the system under complete interventions of some genes, such as by knock out of some genes, with experiments of the system under no interventions. However, it is expensive and difficult to conduct wet lab experiments of complete ...

Gene Specific Co-regulation Discovery from Gene Microarray Data

The problem of gene specific co-regulation discovery is to identify, for a particular gene of interest, called target gene, its strongly co-regulated genes and the condition subsets where such strong gene co-regulations are observed. In this paper, we propose an efficient method for finding gene-specific co-regulations using genetic algorithm (GA). Compared with the previous method, our method ...

Image Reconstruction from Incomplete Data

Discovery of Causal Relationships in a Gene-Regulation Pathway from a Mixture of Experimental and Observational DNA Microarray Data

This paper reports the methods and results of a computer-based search for causal relationships in the gene-regulation pathway of galactose metabolism in the yeast Saccharomyces cerevisiae. The search uses recently published data from cDNA microarray experiments. A Bayesian method was applied to learn causal networks from a mixture of observational and experimental gene-expression data. The obse...