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- Title
Predicting causal effects in large-scale systems from observational data.
- Authors
Maathuis, Marloes H.; Colombo, Diego; Kalisch, Markus; Bühlmann, Peter
- Abstract
The article informs about the cause and effect relationship between the variables by obtaining casual information from observational data. In the first test, the researchers used a compendium of gene expression profile of saccharomyces cerevisiac which contained 267 full-genome full genome expression profiles while in the other test they used the data from DREAM4 In Silco Network Challenge, a competition in reverse engineering of gene regulation networks.
- Subjects
EXPERIMENTAL design; QUANTITATIVE research; SACCHAROMYCES; GENOMES; GENE expression
- Publication
Nature Methods, 2010, Vol 7, Issue 4, p247
- ISSN
1548-7091
- Publication type
Article
- DOI
10.1038/nmeth0410-247