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Computational and Systems Oncology|November 1, 2021
Computational immune infiltration analysis of pediatric high-grade gliomas (pHGGs) reveals differences in immunosuppression and prognosis by tumor locationCavan P Bailey, Ruiping Wang, Mary Figueroa, et al.Computational and Systems Oncology|September 20, 2021
Predicting Time to Relapse in Acute Myeloid Leukemia through Stochastic Modeling of Minimal Residual Disease Based on Clonality DataKhanh N Dinh, Roman Jaksik, Seth J Corey, et al.Computational and Systems Oncology|August 15, 2022
SITH: An R package for visualizing and analyzing a spatial model of intratumor heterogeneityPhillip B Nicol, Dániel L Barabási, Kevin R Coombes, et al.Computational and Systems Oncology|May 4, 2026
Correction to "Time Management and Personal Efficiency in the Age of Computational and Systems Oncology"Computational and Systems Oncology|January 5, 2022
A validated mathematical model of FGFR3-mediated tumor growth reveals pathways to harness the benefits of combination targeted therapy and immunotherapy in bladder cancerKamaldeen Okuneye, Daniel Bergman, Jeffrey C Bloodworth, et al.Computational and Systems Oncology|August 29, 2022
Inference on spatial heterogeneity in tumor microenvironment using spatial transcriptomics dataAntara Biswas, Bassel Ghaddar, Gregory Riedlinger, et al.Computational and Systems Oncology|June 24, 2021
Computational systems-biology approaches for modeling gene networks driving epithelial-mesenchymal transitionsAtaur Katebi, Daniel Ramirez, Mingyang LuComputational and Systems Oncology|December 1, 2025
Optimization of Immune Checkpoint Blockade via a Multiscale Model SystemAnne M Talkington, Anthony J KearsleyPageof 1