David A. Hormuth, II

Research Scientist | Biomedical Engineering + Imaging Science > > Computational Oncology

Abstract PO-091: Modeling the effects of glucose accessibility on tumor cell growth: A comparison of mechanism-based and machine learning models


Journal article


Jiancheng Yang, J. Virostko, D. Hormuth, T. Yankeelov
2021

Semantic Scholar DOI
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APA   Click to copy
Yang, J., Virostko, J., Hormuth, D., & Yankeelov, T. (2021). Abstract PO-091: Modeling the effects of glucose accessibility on tumor cell growth: A comparison of mechanism-based and machine learning models.


Chicago/Turabian   Click to copy
Yang, Jiancheng, J. Virostko, D. Hormuth, and T. Yankeelov. “Abstract PO-091: Modeling the Effects of Glucose Accessibility on Tumor Cell Growth: A Comparison of Mechanism-Based and Machine Learning Models” (2021).


MLA   Click to copy
Yang, Jiancheng, et al. Abstract PO-091: Modeling the Effects of Glucose Accessibility on Tumor Cell Growth: A Comparison of Mechanism-Based and Machine Learning Models. 2021.


BibTeX   Click to copy

@article{jiancheng2021a,
  title = {Abstract PO-091: Modeling the effects of glucose accessibility on tumor cell growth: A comparison of mechanism-based and machine learning models},
  year = {2021},
  journal = {},
  author = {Yang, Jiancheng and Virostko, J. and Hormuth, D. and Yankeelov, T.}
}


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