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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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 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: 2017-09-012017-11-21
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.jtbi.2017.08.023
 Degree: -

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Title: Journal of Theoretical Biology
  Abbreviation : J. Theor. Biol.
Source Genre: Journal
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Affiliations:
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