Gene regulatory network inference based on a nonhomogeneous dynamic Bayesian network model with an i...
Gene regulatory network inference based on a nonhomogeneous dynamic Bayesian network model with an improved Markov Monte Carlo sampling
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Publisher
England: BioMed Central Ltd
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Language
English
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England: BioMed Central Ltd
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Contents
A nonhomogeneous dynamic Bayesian network model, which combines the dynamic Bayesian network and the multi-change point process, solves the limitations of the dynamic Bayesian network in modeling non-stationary gene expression data to a certain extent. However, certain problems persist, such as the low network reconstruction accuracy and poor model...
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Full title
Gene regulatory network inference based on a nonhomogeneous dynamic Bayesian network model with an improved Markov Monte Carlo sampling
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TN_cdi_doaj_primary_oai_doaj_org_article_2f50c42e29fe4590bf1e2ff05d4be644
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2f50c42e29fe4590bf1e2ff05d4be644
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ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-023-05381-2
