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Mathematical and Computational Oncology

Overview of attention for book
Cover of 'Mathematical and Computational Oncology'

Table of Contents

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    Book Overview
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    Chapter 1 Phylogenies Derived from Matched Transcriptome Reveal the Evolution of Cell Populations and Temporal Order of Perturbed Pathways in Breast Cancer Brain Metastases
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    Chapter 2 Modeling the Evolution of Ploidy in a Resource Restricted Environment
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    Chapter 3 cmIF: A Python Library for Scalable Multiplex Imaging Pipelines
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    Chapter 4 Accurate and Flexible Bayesian Mutation Call from Multi-regional Tumor Samples
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    Chapter 5 Flexible Data Trimming for Different Machine Learning Methods in Omics-Based Personalized Oncology
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    Chapter 6 Towards Model-Based Characterization of Biomechanical Tumor Growth Phenotypes
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    Chapter 7 Population Modeling of Tumor Growth Curves, the Reduced Gompertz Model and Prediction of the Age of a Tumor
Attention for Chapter 2: Modeling the Evolution of Ploidy in a Resource Restricted Environment
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Chapter title
Modeling the Evolution of Ploidy in a Resource Restricted Environment
Chapter number 2
Book title
Mathematical and Computational Oncology
Published by
Springer, Cham, October 2019
DOI 10.1007/978-3-030-35210-3_2
Book ISBNs
978-3-03-035209-7, 978-3-03-035210-3
Authors

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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%

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