A causal Bayesian network model of disease progression mechanisms in chronic 
myeloid leukemia

Koch, Daniel; Eisinger, Robert S.; Gebharter, Alexander

doi:10.1016/j.jtbi.2017.08.023

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A causal Bayesian network model of disease progression mechanisms in chronic myeloid leukemia

Koch, D., Eisinger, R. S., & Gebharter, A. (2017). A causal Bayesian network model of disease progression mechanisms in chronic myeloid leukemia. Journal of Theoretical Biology, 433, 94-105. doi:10.1016/j.jtbi.2017.08.023.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-F250-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-F251-4

Genre: Journal Article

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Creators:
Koch, Daniel¹, Author
Eisinger, Robert S.², Author
Gebharter, Alexander², Author

Affiliations:
1Abt. III: Strukturbiochemie, Max Planck Institute of Molecular Physiology, Max Planck Society, ou_2040307
2External Organizations, ou_persistent22

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Free keywords: Bayesian networks; Blast crisis; Causal modeling; Chronic myeloid leukemia; Disease progression mechanisms; Feedback loops

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Language(s): eng - English

Dates: Published Online: 2017-09-01Date issued: 2017-11-21

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1016/j.jtbi.2017.08.023

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Title: Journal of Theoretical Biology

Abbreviation : J. Theor. Biol.

Source Genre: Journal

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Publ. Info: London : Elsevier

Pages: - Volume / Issue: 433 Sequence Number: - Start / End Page: 94 - 105 Identifier: Other: 0022-5193
Other: 1095-8541
CoNE: https://pure.mpg.de/cone/journals/resource/954922646048