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High-order dynamic Bayesian Network learning with hidden common causes for causal gene regulatory network
BACKGROUND: Inferring gene regulatory network (GRN) has been an important topic in Bioinformatics. Many computational methods infer the GRN from high-throughput expression data. Due to the presence of time delays in the regulatory relationships, High-Order Dynamic Bayesian Network (HO-DBN) is a good...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | BMC Bioinformatics |
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| Κύριοι συγγραφείς: | , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2015
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4659244/ https://ncbi.nlm.nih.gov/pubmed/26608050 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-015-0823-6 |
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