Decoding the dynamic tumor microenvironment

Aaron Clauset; Kian Behbakht; Benjamin G Bitler

doi:10.1126/sciadv.abi5904

Decoding the dynamic tumor microenvironment

Sci Adv. 2021 Jun 4;7(23):eabi5904. doi: 10.1126/sciadv.abi5904. Print 2021 Jun.

Authors

Aaron Clauset^{1

2

3}, Kian Behbakht^{4

5

6}, Benjamin G Bitler^{7

6}

Affiliations

¹ Department of Computer Science, University of Colorado Boulder, Boulder, CO 80309, USA.
² Santa Fe Institute, Santa Fe, NM 87501, USA.
³ BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80309, USA.
⁴ University of Colorado Cancer Center, Aurora, CO 80045, USA.
⁵ Department of OB/GYN, Division of Gynecologic Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
⁶ Department of OB/GYN, Division of Reproductive Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
⁷ University of Colorado Cancer Center, Aurora, CO 80045, USA. benjamin.bitler@cuanschutz.edu.

Abstract

An opportunity to improve cancer outcomes with machine learning.

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

Publication types

Review