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The inference of breast cancer metastasis through gene regulatory networks
2012
Journal of Biomedical Informatics
Understanding the mechanisms of gene regulation during breast cancer is one of the most difficult problems among oncologists because this regulation is likely comprised of complex genetic interactions. Given this complexity, a computational study using the Bayesian network technique has been employed to construct a gene regulatory network from microarray data. Although the Bayesian network has been notified as a prominent method to infer gene regulatory processes, learning the Bayesian network
doi:10.1016/j.jbi.2011.11.015
pmid:22179053
fatcat:s4qrirjx5nfm7fzafl6xkkncwe