Author

Qiang Gu

Oregon Health & Science University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:software / tool· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Allison CreasoniD· 3 shared Jeremy GoecksiD· 3 shared Björn Andreas GrüningiD· 2 shared Luke SargentiD· 2 shared Ajit J. NirmaliD· 1 shared Alireza KhanteymooriiD· 1 shared Alyssa F. PybusiD· 1 shared Anup KumariD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioinformatics

Allison CreasonORCID

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Author profile →

3 papers

Recent·Most cited

A Web-based software toolkit for accessible and best-practice machine learning analyses in biomedical research

Paulo Cilas Morais Lyra Junior, Junhao Qiu, Khai Dang, Alyssa F. Pybus, Isis Yanina Narvaez-Bandera, Maansi A Singh, Qiang Gu, Luke Sargent, Allison Creason, Jeremy Goecks

GLEAM provides a web-based toolkit for accessible and rigorous machine learning analyses in biomedical research, producing accurate models across three tasks.

bioRxiv · Jun 7, 2026 · PreprintBioinformatics

A Web-based Software Resource for Interactive Analysis of Multiplex Tissue Imaging Datasets

Allison Creason, Cameron Watson, Qiang Gu, Daniel Persson, Luke Sargent, Yu‐An Chen, Jia‐Ren Lin, Shamilene Sivagnanam, Florian Wünnemann, Ajit J. Nirmal, Koei Chin, Heidi S. Feiler, Hannah Holly, Lisa M. Coussens, Denis Schapiro, , Jeremy Goecks

Galaxy-ME is a web-based software hub for analyzing and visualizing multiplex tissue imaging datasets, demonstrating its utility on normal and cancerous tissue data.

bioRxiv · Aug 18, 2022 · PreprintBioinformatics

Accessible, Reproducible, and Scalable Machine Learning for Biomedicine

Qiang Gu, Anup Kumar, Simon A. Bray, Allison Creason, Alireza Khanteymoori, Vahid Jalili, Björn Andreas Grüning, Jeremy Goecks

The paper introduces Galaxy-ML, a web-based platform for reproducible and scalable supervised machine learning in biomedicine, extending the Galaxy computational workbench.

PLoS Computational Biology · Jun 1, 2021Peer-reviewedBioinformatics