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A Primer on Learning in Bayesian Networks for Computational Biology

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  • Chris J Needham
  • James R Bradford
  • Andrew J Bulpitt
  • David R Westhead

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Suggested Citation

  • Chris J Needham & James R Bradford & Andrew J Bulpitt & David R Westhead, 2007. "A Primer on Learning in Bayesian Networks for Computational Biology," PLOS Computational Biology, Public Library of Science, vol. 3(8), pages 1-8, August.
    • Handle: RePEc:plo:pcbi00:0030129
    DOI: 10.1371/journal.pcbi.0030129
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    Cited by:

    1. J. H. Smid & A. N. Swart & A. H. Havelaar & A. Pielaat, 2011. "A Practical Framework for the Construction of a Biotracing Model: Application to Salmonella in the Pork Slaughter Chain," Risk Analysis, John Wiley & Sons, vol. 31(9), pages 1434-1450, September.
    2. Benjamin-Fink, Nicole & Reilly, Brian K., 2017. "A road map for developing and applying object-oriented bayesian networks to “WICKED” problems," Ecological Modelling, Elsevier, vol. 360(C), pages 27-44.
    3. Alessandro Ambrosi & Claudia Cattoglio & Clelia Di Serio, 2008. "Retroviral Integration Process in the Human Genome: Is It Really Non-Random? A New Statistical Approach," PLOS Computational Biology, Public Library of Science, vol. 4(8), pages 1-6, August.
    4. Yishai Shimoni & Marc Y Fink & Soon-gang Choi & Stuart C Sealfon, 2010. "Plato's Cave Algorithm: Inferring Functional Signaling Networks from Early Gene Expression Shadows," PLOS Computational Biology, Public Library of Science, vol. 6(6), pages 1-13, June.
    5. Jumeniyaz Seydehmet & Guang Hui Lv & Ilyas Nurmemet & Tayierjiang Aishan & Abdulla Abliz & Mamat Sawut & Abdugheni Abliz & Mamattursun Eziz, 2018. "Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China," Sustainability, MDPI, vol. 10(3), pages 1-22, February.
    6. Kaghazchi, Afsaneh & Hashemy Shahdany, S. Mehdy & Roozbahani, Abbas, 2021. "Simulation and evaluation of agricultural water distribution and delivery systems with a Hybrid Bayesian network model," Agricultural Water Management, Elsevier, vol. 245(C).
    7. Juan A G Ranea & Ian Morilla & Jon G Lees & Adam J Reid & Corin Yeats & Andrew B Clegg & Francisca Sanchez-Jimenez & Christine Orengo, 2010. "Finding the “Dark Matter” in Human and Yeast Protein Network Prediction and Modelling," PLOS Computational Biology, Public Library of Science, vol. 6(9), pages 1-14, September.
    8. Paula Laccourreye & Concha Bielza & Pedro Larrañaga, 2022. "Explainable Machine Learning for Longitudinal Multi-Omic Microbiome," Mathematics, MDPI, vol. 10(12), pages 1-23, June.

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