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1st ISMCO 2019: Lake Tahoe, NV, USA

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George Bebis, Takis Benos, Ken Chen, Katharina Jahn, Ernesto Lima:
Mathematical and Computational Oncology - First International Symposium, ISMCO 2019, Lake Tahoe, NV, USA, October 14-16, 2019, Proceedings. Lecture Notes in Computer Science 11826, Springer 2019, ISBN 978-3-030-35209-7

Special Track: Tumor Evolvability and Intra-tumor Heterogeneity

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Yifeng Tao, Haoyun Lei, Adrian V. Lee, Jian Ma, Russell Schwartz:
Phylogenies Derived from Matched Transcriptome Reveal the Evolution of Cell Populations and Temporal Order of Perturbed Pathways in Breast Cancer Brain Metastases. 3-28
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Gregory Kimmel, Jill S. Barnholtz-Sloan, Hanlee P. Ji, Philipp M. Altrock, Noemi Andor:
Modeling the Evolution of Ploidy in a Resource Restricted Environment. 29-34

Imaging and Scientific Visualization for Cancer Research

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Jennifer Eng, Elmar Bucher, Elliot Gray, Lydia Grace Campbell, Guillaume Thibault, Laura Heiser, Summer Gibbs, Joe W. Gray, Koei Chin, Young Hwan Chang:
cmIF: A Python Library for Scalable Multiplex Imaging Pipelines. 37-43

Statistical Methods and Data Mining for Cancer Research (SMDM)

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Takuya Moriyama, Seiya Imoto, Satoru Miyano, Rui Yamaguchi:
Accurate and Flexible Bayesian Mutation Call from Multi-regional Tumor Samples. 47-61
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Victor Tkachev, Anton Buzdin, Nicolas Borisov:
Flexible Data Trimming for Different Machine Learning Methods in Omics-Based Personalized Oncology. 62-71

Spatio-temporal Tumor Modeling and Simulation (STTMS)

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Daniel Abler, Philippe Büchler, Russell C. Rockne:
Towards Model-Based Characterization of Biomechanical Tumor Growth Phenotypes. 75-86
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Cristina Vaghi, Anne Rodallec, Raphaelle Fanciullino, Joseph Ciccolini, Jonathan Mochel, Michalis Mastri, John M. L. Ebos, Clair Poignard, Sébastien Benzekry:
Population Modeling of Tumor Growth Curves, the Reduced Gompertz Model and Prediction of the Age of a Tumor. 87-97

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