Computational and systems oncology

Keyphrases

Publications

volume 2, number 2, 2022

Phillip B Nicol, Dániel L Barabási, Kevin R Coombes, Amir Asiaee
SITH: An R package for visualizing and analyzing a spatial model of intratumor heterogeneity. Computational and systems oncology 2 (2) (2022)

volume 2, number 3, 2022

Antara Biswas, Bassel Ghaddar, Gregory Riedlinger, Subhajyoti De
Inference on spatial heterogeneity in tumor microenvironment using spatial transcriptomics data. Computational and systems oncology 2 (3) (2022)

volume 1, number 1, 2021

Heiko Enderling, Olaf Wolkenhauer
Are all models wrong? Computational and systems oncology 1 (1) (2021)

volume 1, number 2, 2021

Ataur Katebi, Daniel Ramirez, Mingyang Lu
Computational systems-biology approaches for modeling gene networks driving epithelial-mesenchymal transitions. Computational and systems oncology 1 (2) (2021)
Kamaldeen Okuneye, Daniel Bergman, Jeffrey C Bloodworth, Alexander T Pearson, Randy F Sweis, Trachette L Jackson
A validated mathematical model of FGFR3-mediated tumor growth reveals pathways to harness the benefits of combination targeted therapy and immunotherapy in bladder cancer. Computational and systems oncology 1 (2) (2021)

volume 1, number 3, 2021

Cavan P Bailey, Ruiping Wang, Mary Figueroa, Shaojun Zhang, Linghua Wang, Joya Chandra
Computational immune infiltration analysis of pediatric high-grade gliomas (pHGGs) reveals differences in immunosuppression and prognosis by tumor location. Computational and systems oncology 1 (3) (2021)
Khanh N Dinh, Roman Jaksik, Seth J Corey, Marek Kimmel
Predicting Time to Relapse in Acute Myeloid Leukemia through Stochastic Modeling of Minimal Residual Disease Based on Clonality Data. Computational and systems oncology 1 (3) (2021)