Hasil Pencarian - Patrick C. Kinnunen

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  1. 1
    Characterizing heterogeneous single-cell dose responses computationally and experimentally using threshold inhibition surfaces and dose-titration assays

    Characterizing heterogeneous single-cell dose responses computationally and experimentally using threshold inhibition surfaces and dose-titration assays oleh Patrick C. Kinnunen, Brock A. Humphries, Gary D. Luker, Kathryn E. Luker, Jennifer J. Linderman

    Diterbitkan 2024-04-01
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  2. 2
    Oscillatory ERK Signaling and Morphology Determine Heterogeneity of Breast Cancer Cell Chemotaxis via MEK-ERK and p38-MAPK Signaling Pathways

    Oscillatory ERK Signaling and Morphology Determine Heterogeneity of Breast Cancer Cell Chemotaxis via MEK-ERK and p38-MAPK Signaling Pathways oleh Kenneth K. Y. Ho, Siddhartha Srivastava, Patrick C. Kinnunen, Krishna Garikipati, Gary D. Luker, Kathryn E. Luker

    Diterbitkan 2023-02-01
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  3. 3
    Guide RNA structure design enables combinatorial CRISPRa programs for biosynthetic profiling

    Guide RNA structure design enables combinatorial CRISPRa programs for biosynthetic profiling oleh Jason Fontana, David Sparkman-Yager, Ian Faulkner, Ryan Cardiff, Cholpisit Kiattisewee, Aria Walls, Tommy G. Primo, Patrick C. Kinnunen, Hector Garcia Martin, Jesse G. Zalatan, James M. Carothers

    Diterbitkan 2024-07-01
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  4. 4
    Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space

    Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space oleh Emily K. Makowski, Patrick C. Kinnunen, Jie Huang, Lina Wu, Matthew D. Smith, Tiexin Wang, Alec A. Desai, Craig N. Streu, Yulei Zhang, Jennifer M. Zupancic, John S. Schardt, Jennifer J. Linderman, Peter M. Tessier

    Diterbitkan 2022-07-01
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  5. 5
    Integrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity

    Integrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity oleh Patrick C. Kinnunen, Kenneth K. Y. Ho, Siddhartha Srivastava, Siddhartha Srivastava, Chengyang Huang, Wanggang Shen, Krishna Garikipati, Krishna Garikipati, Krishna Garikipati, Gary D. Luker, Gary D. Luker, Nikola Banovic, Xun Huan, Xun Huan, Jennifer J. Linderman, Jennifer J. Linderman, Kathryn E. Luker, Kathryn E. Luker

    Diterbitkan 2024-03-01
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