Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process
Open Access
- 3 May 2007
- journal article
- research article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 8 (S2) , S3
- https://doi.org/10.1186/1471-2105-8-s2-s3
Abstract
Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning these networks is challenging due to the low sample size and high dimensionality of genomic data.Keywords
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