#MathOnco Issue 49: a review of cancer paradoxes, markov chains, hierarchical fitness, nonlinear adaptive control
This week in
Mathematical Oncology
Jan. 10, 2019 ~ Issue 49
From the editor
Hello #MathOnco friends,
I hope the new year is treating you well! There are a lot of fun modeling papers this week, but I also must draw your attention specifically to the "Paradoxes of tumor complexity" review I've included below. How many of these so-called paradoxes can be (and already have been) addressed by the math oncology community? A good read to inspire new project ideas!
-Jeffrey West
#MathOnco Publications
Nonlinear composite adaptive control of cancer chemotherapy with online identification of uncertain parameters
Authors: Mojtaba Sharifi, Hamed Moradi
A Continuous–Time Markov Chain Modeling Cancer–Immune System Interactions
Authors: Diletta Burini, Elena De Angelis, Miroslaw Lachowicz
Paradoxes of tumour complexity: somatic selection, vulnerability by design, or infectious aetiology?
Authors: Péter Apari, Viktor Müller
Delays in Fitness Adjustment Can Lead to Coexistence of Hierarchically Interacting Species
Authors: Marianne Bauer, Erwin Frey
#MathOnco Preprints
Whole Genome Doubling mitigates Muller's Ratchet in Cancer Evolution
Authors: Saioa Lopez, Emilia Lim, Ariana Huebner, .., Charles Swanton, TRACERx Consortium, Nicholas McGranahan
Hidden Markov Models Lead to Higher Resolution Maps of Mutation Signature Activity in Cancer
Authors: Xiaoqing Huang, Itay Sason, Damian Wojtowicz, Yoo-Ah Kim, Mark Leiserson, Teresa M Przytycka, Roded Sharan
The SHAPE of logistic growth shows that timing does matter
Authors: Jonathan Dench
#MathOnco News
How Nature Defies Math in Keeping Ecosystems Stable
"Paradoxically, the abundance of tight interactions among living species usually leads to disasters in ecological models. New analyses hint at how nature seemingly defies the math."
#MathOnco - Book of the month
Cellular Automaton Modeling of Biological Pattern Formation: Characterization, Examples, and Analysis
Andreas Deutsch & Sabine Dormann:
"This text explores the use of cellular automata in modeling pattern formation in biological systems. It describes several mathematical modeling approaches utilizing cellular automata that can be used to study the dynamics of interacting cell systems both in simulation and in practice."
Most clicked links of December
Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory
A mathematical framework for modelling the metastatic spread of cancer
Jobs
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