DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer

Research article (BMC Bioinformatics, 2022) · cited 11× · AI/ML
Press Enter · cited answer in seconds

DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer

Summary

DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer is a scholarly article[1].

Key Facts

  • DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/dagbagm-learning-directed-acyclic-graphs-of-mixed-variables-with-an-application-to-identify-protein-biomarkers-for-treat
MLA “DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dagbagm-learning-directed-acyclic-graphs-of-mixed-variables-with-an-application-to-identify-protein-biomarkers-for-treat.
BibTeX @misc{4ortxyz_dagbagm-learning-directed-acyclic-graphs-of-mixed-variables-with-an-application-to-identify-protein-biomarkers-for-treat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer}}, year = {2026}, url = {https://4ort.xyz/entity/dagbagm-learning-directed-acyclic-graphs-of-mixed-variables-with-an-application-to-identify-protein-biomarkers-for-treat}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DAGBagM: learning directed acyclic graphs of mixed variables with an application to identify protein biomarkers for treatment response in ovarian cancer — https://4ort.xyz/entity/dagbagm-learning-directed-acyclic-graphs-of-mixed-variables-with-an-application-to-identify-protein-biomarkers-for-treat (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/dagbagm-learning-directed-acyclic-graphs-of-mixed-variables-with-an-application-to-identify-protein-biomarkers-for-treat · Last refreshed: