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DAGBagM: Learning directed acyclic graphs of mixed variables with an application to identify prognostic protein biomarkers in ovarian cancer

Shrabanti Chowdhury, Ru Wang, Qing Yu, Catherine J. Huntoon, Larry M. Karnitz, Scott H. Kaufmann, Steven P. Gygi, Michael J. Birrer, Amanda G. Paulovich, Jie Peng, Pei Wang
doi: https://doi.org/10.1101/2020.10.26.349076
Shrabanti Chowdhury
1, New York, NY 10029, USA
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Ru Wang
2Department of Statistics, University of California, Davis, CA 95616
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Qing Yu
3Department of Cell Biology, Harvard Medical School, Boston, MA 02115
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Catherine J. Huntoon
4, 200 First Street SW, Gonda 19-300, Rochester, MN 55905
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Larry M. Karnitz
4, 200 First Street SW, Gonda 19-300, Rochester, MN 55905
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Scott H. Kaufmann
5Division of Oncology Research, Mayo Clinic, Rochester, MN 55905
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Steven P. Gygi
3Department of Cell Biology, Harvard Medical School, Boston, MA 02115
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Michael J. Birrer
6, Little Rock, AR 72205-7199
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Amanda G. Paulovich
7, Seattle, WA 98109
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Jie Peng
2Department of Statistics, University of California, Davis, CA 95616
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  • For correspondence: jiepeng@ucdavis.edu
Pei Wang
1, New York, NY 10029, USA
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  • For correspondence: pei.wang@mssm.edu
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Posted October 27, 2020.
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DAGBagM: Learning directed acyclic graphs of mixed variables with an application to identify prognostic protein biomarkers in ovarian cancer
Shrabanti Chowdhury, Ru Wang, Qing Yu, Catherine J. Huntoon, Larry M. Karnitz, Scott H. Kaufmann, Steven P. Gygi, Michael J. Birrer, Amanda G. Paulovich, Jie Peng, Pei Wang
bioRxiv 2020.10.26.349076; doi: https://doi.org/10.1101/2020.10.26.349076
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DAGBagM: Learning directed acyclic graphs of mixed variables with an application to identify prognostic protein biomarkers in ovarian cancer
Shrabanti Chowdhury, Ru Wang, Qing Yu, Catherine J. Huntoon, Larry M. Karnitz, Scott H. Kaufmann, Steven P. Gygi, Michael J. Birrer, Amanda G. Paulovich, Jie Peng, Pei Wang
bioRxiv 2020.10.26.349076; doi: https://doi.org/10.1101/2020.10.26.349076

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