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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
Ru Wang
2Department of Statistics, University of California, Davis, CA 95616
Qing Yu
3Department of Cell Biology, Harvard Medical School, Boston, MA 02115
Catherine J. Huntoon
4, 200 First Street SW, Gonda 19-300, Rochester, MN 55905
Larry M. Karnitz
4, 200 First Street SW, Gonda 19-300, Rochester, MN 55905
Scott H. Kaufmann
5Division of Oncology Research, Mayo Clinic, Rochester, MN 55905
Steven P. Gygi
3Department of Cell Biology, Harvard Medical School, Boston, MA 02115
Michael J. Birrer
6, Little Rock, AR 72205-7199
Amanda G. Paulovich
7, Seattle, WA 98109
Jie Peng
2Department of Statistics, University of California, Davis, CA 95616
Pei Wang
1, New York, NY 10029, USA

Article usage
Posted October 27, 2020.
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
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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