Bayesian graphical models for modern biological applications
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2021/05/27
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Indian UGC (journal)
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Refrences98
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Citations13
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Yang Ni
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Veerabhadran Baladandayuthapani
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Marina Vannucci
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Francesco C. Stingo ORCID (unauthenticated)
Abstract
Cite
Ni, Yang, et al. “Bayesian Graphical Models for Modern Biological Applications”. Statistical Methods &Amp; Applications, vol. 31, no. 2, 2021, pp. 197-25, https://doi.org/10.1007/s10260-021-00572-8.
Ni, Y., Baladandayuthapani, V., Vannucci, M., & Stingo, F. C. (2021). Bayesian graphical models for modern biological applications. Statistical Methods &Amp; Applications, 31(2), 197-225. https://doi.org/10.1007/s10260-021-00572-8
Ni, Yang, Veerabhadran Baladandayuthapani, Marina Vannucci, and Francesco C. Stingo. “Bayesian Graphical Models for Modern Biological Applications”. Statistical Methods &Amp; Applications 31, no. 2 (2021): 197-225. https://doi.org/10.1007/s10260-021-00572-8.
1.
Ni Y, Baladandayuthapani V, Vannucci M, Stingo FC. Bayesian graphical models for modern biological applications. Statistical Methods & Applications. 2021;31(2):197-225.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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| BDgraph: An R Package for Bayesian Structure Learning in Graphical Models | Journal of Statistical Software |
| 31 | 2019 |
| 10.1214/19-BA1153 | Bayesian Analysis | 2019 |
Refrences Analysis
The category
Science: Biology (General) 35
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Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Learning Bayesian Networks: A Copula Approach for Mixed-Type Data | Psychometrika |
| 2024 | |
| Sorption of four antibiotics onto pristine biochar derived from macadamia nutshell | Bioresource Technology |
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| Network Analysis of Behavioral Activation/Inhibition Systems and Brain Volume in Individuals With and Without Major Depressive Disorder or Social Anxiety Disorder | Biological Psychiatry: Cognitive Neuroscience and Neuroimaging |
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Citations Analysis
The category
Science: Mathematics 7
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo and was published in 2021. The most recent citation comes from a 2024 study titled Learning Bayesian Networks: A Copula Approach for Mixed-Type Data. This article reached its peak citation in 2023, with 4 citations. It has been cited in 8 different journals, 12% of which are open access. Among related journals, the Statistical Methods & Applications cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.