Search Results - Luke Ternes

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  1. 1

    Computational multiplex panel reduction to maximize information retention in breast cancer tissue microarrays. by Luke Ternes, Jia-Ren Lin, Yu-An Chen, Joe W Gray, Young Hwan Chang

    Published in PLoS Computational Biology (2022-09-01)
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  2. 2

    3D multiplexed tissue imaging reconstruction and optimized region of interest (ROI) selection through deep learning model of channels embedding by Erik Burlingame, Luke Ternes, Jia-Ren Lin, Jia-Ren Lin, Yu-An Chen, Yu-An Chen, Eun Na Kim, Joe W. Gray, Joe W. Gray, Young Hwan Chang, Young Hwan Chang

    Published in Frontiers in Bioinformatics (2023-10-01)
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  3. 3

    Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon by Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson

    Published in Molecular Oncology (2025-06-01)
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  4. 4

    MYC Deregulation and PTEN Loss Model Tumor and Stromal Heterogeneity of Aggressive Triple-Negative Breast Cancer by Zinab O. Doha, Xiaoyan Wang, Nicholas L. Calistri, Jennifer Eng, Colin J. Daniel, Luke Ternes, Eun Na Kim, Carl Pelz, Michael Munks, Courtney Betts, Sunjong Kwon, Elmar Bucher, Xi Li, Trent Waugh, Zuzana Tatarova, Dylan Blumberg, Aaron Ko, Nell Kirchberger, Jennifer A. Pietenpol, Melinda E. Sanders, Ellen M. Langer, Mu-Shui Dai, Gordon Mills, Koei Chin, Young Hwan Chang, Lisa M. Coussens, Joe W. Gray, Laura M. Heiser, Rosalie C. Sears

    Published in Nature Communications (2023-09-01)
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