METANet: A supervised ensemble learning framework for reconstructing direct and functional tissue-specific transcription factor networks

Authors

• Wooseok J Jung, Washington University School of Medicine in St. Louis
• Sandeep Acharya, Washington University School of Medicine in St. Louis
• Daniel P Ruskin, Washington University School of Medicine in St. Louis
• Shu Liao, Washington University School of Medicine in St. Louis
• Vaha Akbary Moghaddam, Washington University School of Medicine in St. Louis
• Zolboo Erdenebaatar, Washington University School of Medicine in St. Louis
• Michael R Brent, Washington University School of Medicine in St. Louis

Journal

Bioinformatics

Publication Date

10-2-2026

Volume

42

Issue

10

First Page

btag738

Document Type

Open Access Publication

DOI

10.1093/bioinformatics/btag738

Rights and Permissions

Wooseok J Jung, Sandeep Acharya, Daniel P Ruskin, Shu Liao, Vaha Akbary Moghaddam, Zolboo Erdenebaatar, Michael R Brent, METANet: a supervised ensemble learning framework for reconstructing direct and functional tissue-specific transcription factor networks, Bioinformatics, Volume 42, Issue 10, October 2026, btag738, https://doi.org/10.1093/bioinformatics/btag738. https://academic.oup.com/bioinformatics/article/42/10/btag738/8875709?login=true. © The Author(s) 2026. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Recommended Citation

Jung, Wooseok J; Acharya, Sandeep; Ruskin, Daniel P; Liao, Shu; Moghaddam, Vaha Akbary; Erdenebaatar, Zolboo; and Brent, Michael R, "METANet: A supervised ensemble learning framework for reconstructing direct and functional tissue-specific transcription factor networks." Bioinformatics. 42, 10. btag738 (2026).
https://digitalcommons.wustl.edu/oa_4/7726

Additional Links

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