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:10.1101/2020.10.26.349076

New Results

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

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Ru Wang

2Department of Statistics, University of California, Davis, CA 95616

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Qing Yu

3Department of Cell Biology, Harvard Medical School, Boston, MA 02115

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Catherine J. Huntoon

4, 200 First Street SW, Gonda 19-300, Rochester, MN 55905

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Larry M. Karnitz

4, 200 First Street SW, Gonda 19-300, Rochester, MN 55905

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Scott H. Kaufmann

5Division of Oncology Research, Mayo Clinic, Rochester, MN 55905

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Steven P. Gygi

3Department of Cell Biology, Harvard Medical School, Boston, MA 02115

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Michael J. Birrer

6, Little Rock, AR 72205-7199

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Amanda G. Paulovich

7, Seattle, WA 98109

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Jie Peng

2Department of Statistics, University of California, Davis, CA 95616

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
For correspondence: jiepeng@ucdavis.edu

Pei Wang

1, New York, NY 10029, USA

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
For correspondence: pei.wang@mssm.edu

Abstract
Full Text
Info/History
Metrics
Supplementary material
Preview PDF

Supplementary file[supplements/349076_file02.pdf]

View the discussion thread.

PreviousNext

Posted October 27, 2020.

Download PDF

Supplementary Material

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

You are going to email the following DAGBagM: Learning directed acyclic graphs of mixed variables with an application to identify prognostic protein biomarkers in ovarian cancer

Message Subject (Your Name) has forwarded a page to you from bioRxiv

Message Body (Your Name) thought you would like to see this page from the bioRxiv website.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

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

Share This Article:

Citation Tools

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

Citation Manager Formats

BibTeX
Bookends
EasyBib
EndNote (tagged)
EndNote 8 (xml)
Medlars
Mendeley
Papers
RefWorks Tagged
Ref Manager
RIS
Zotero

Tweet Widget
Facebook Like
Google Plus One

Subject Area

Systems Biology

Subject Areas

All Articles

Animal Behavior and Cognition (4246)
Biochemistry (9176)
Bioengineering (6807)
Bioinformatics (24066)
Biophysics (12160)
Cancer Biology (9567)
Cell Biology (13847)
Clinical Trials (138)
Developmental Biology (7661)
Ecology (11739)
Epidemiology (2066)
Evolutionary Biology (15547)
Genetics (10673)
Genomics (14366)
Immunology (9515)
Microbiology (22916)
Molecular Biology (9135)
Neuroscience (49170)
Paleontology (358)
Pathology (1487)
Pharmacology and Toxicology (2584)
Physiology (3851)
Plant Biology (8351)
Scientific Communication and Education (1473)
Synthetic Biology (2301)
Systems Biology (6207)
Zoology (1304)