Robust cluster prediction across data types validates association of sex and therapy response in GBM

Authors

David L Gibbs, Institute of Systems Biology
Gino Cioffi, National Cancer Institute
Boris Aguilar, Institute of Systems Biology
Kristin A Waite, National Cancer Institute
Edward Pan, Daiichi-Sankyo, Inc.
Jacob Mandel, Baylor College of Medicine
Yoshie Umemura, Barrow Neurological Institute
Jingqin Luo, Washington University School of Medicine in St. Louis
Joshua B Rubin, Washington University School of Medicine in St. Louis
David Pot, General Dynamics Information Technology
Jill Barnholtz-Sloan, National Cancer Institute

Journal

Cancers

Publication Date

1-28-2025

Volume

17

Issue

3

First Page

445

Document Type

Open Access Publication

DOI

10.3390/cancers17030445

Rights and Permissions

Gibbs DL, Cioffi G, Aguilar B, Waite KA, Pan E, Mandel J, Umemura Y, Luo J, Rubin JB, Pot D, Barnholtz-Sloan J. Robust Cluster Prediction Across Data Types Validates Association of Sex and Therapy Response in GBM. Cancers (Basel). 2025 Jan 28;17(3):445. doi: 10.3390/cancers17030445 Copyright: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/ licenses/by/4.0/).

Recommended Citation

Gibbs, David L; Cioffi, Gino; Aguilar, Boris; Waite, Kristin A; Pan, Edward; Mandel, Jacob; Umemura, Yoshie; Luo, Jingqin; Rubin, Joshua B; Pot, David; and Barnholtz-Sloan, Jill, "Robust cluster prediction across data types validates association of sex and therapy response in GBM." Cancers. 17, 3. 445 (2025).
https://digitalcommons.wustl.edu/oa_4/4816

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.