Mathematical and Computational Oncology

1. Front Matter

   Pages i-xxiii

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2. Special Track: Tumor Evolvability and Intra-tumor Heterogeneity

   1. Front Matter

      Pages 1-1

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   2. Phylogenies Derived from Matched Transcriptome Reveal the Evolution of Cell Populations and Temporal Order of Perturbed Pathways in Breast Cancer Brain Metastases

      • Yifeng Tao, Haoyun Lei, Adrian V. Lee, Jian Ma, Russell Schwartz

      Pages 3-28

   3. Modeling the Evolution of Ploidy in a Resource Restricted Environment

      • Gregory Kimmel, Jill Barnholtz-Sloan, Hanlee Ji, Philipp Altrock, Noemi Andor

      Pages 29-34

3. Imaging and Scientific Visualization for Cancer Research

   1. Front Matter

      Pages 35-35

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   2. cmIF: A Python Library for Scalable Multiplex Imaging Pipelines

      • Jennifer Eng, Elmar Bucher, Elliot Gray, Lydia Grace Campbell, Guillaume Thibault, Laura Heiser et al.

      Pages 37-43

4. Statistical Methods and Data Mining for Cancer Research (SMDM)

   1. Front Matter

      Pages 45-45

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   2. Accurate and Flexible Bayesian Mutation Call from Multi-regional Tumor Samples

      • Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi

      Pages 47-61

   3. Flexible Data Trimming for Different Machine Learning Methods in Omics-Based Personalized Oncology

      • Victor Tkachev, Anton Buzdin, Nicolas Borisov

      Pages 62-71

5. Spatio-temporal Tumor Modeling and Simulation (STTMS)

   1. Front Matter

      Pages 73-73

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   2. Towards Model-Based Characterization of Biomechanical Tumor Growth Phenotypes

      • Daniel Abler, Philippe Büchler, Russell C. Rockne

      Pages 75-86

   3. Population Modeling of Tumor Growth Curves, the Reduced Gompertz Model and Prediction of the Age of a Tumor

      • Cristina Vaghi, Anne Rodallec, Raphaelle Fanciullino, Joseph Ciccolini, Jonathan Mochel, Michalis Mastri et al.

      Pages 87-97

6. Back Matter

   Pages 99-99

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This book constitutes the refereed proceedings of the First International Symposium on Mathematical and Computational Oncology, ISMCO'2019, held in Lake Tahoe, NV, USA, in October 2019.

The 7 full papers presented were carefully reviewed and selected from 30 submissions.
The papers are organized in topical sections named: Tumor evolvability and intra-tumor heterogeneity; Imaging and scientific visualization for cancer research; Statistical methods and data mining for cancer research (SMDM); Spatio-temporal tumor modeling and simulation (STTMS).

• artificial intelligence
• Bayes theorem
• bioinformatics
• clustering algorithms
• image analysis
• image processing
• image reconstruction
• image segmentation
• signal processing
• software design
• software engineering

• University of Nevada, Reno, USA

  George Bebis

• University of Pittsburgh, Pittsburgh, USA

  Takis Benos

• The University of Texas MD Anderson Cancer Center, Houston, USA

  Ken Chen

• ETH Zurich, Basel, Switzerland

  Katharina Jahn

• The University of Texas, Austin, USA

  Ernesto Lima

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