#MathOnco Issue 80: modeling vs stats; tumor acidity; personalized radiotherapy; visualizing evolution
This week in
Math Oncology
August 29, 2019 ~ Issue 80
From the editor
#MathOnco friends,
Aside from the usual array of math oncology articles, I've included an interesting comment on modeling philosophy (sent to me by Ryan Schenck, who has coincidentally also written about modeling philosophy here).
The comment coincides nicely with a review in Quanta on whether it's possible to disentangle the threads of “nature” and “nurture” using statistical methods (i.e. GWAS).
Do not forget to scroll down to see a new job announcement from the Reiter lab.
-Jeffrey West
#MathOnco Publications
Acidity promotes tumour progression by altering macrophage phenotype in prostate cancer
Authors: Asmaa El-Kenawi, Chandler Gatenbee, Mark Robertson-Tessi, Rafael Bravo, Jasreman Dhillon, Yoganand Balagurunathan, Anders Berglund, Naveen Visvakarma, Arig Ibrahim-Hashim, Jung Choi, Kimberly Luddy, Robert Gatenby, Shari Pilon-Thomas, Alexander Anderson, Brian Ruffell & Robert Gillies
Utilizing the genomically adjusted radiation dose (GARD) to personalize adjuvant radiotherapy in triple negative breast cancer management
Authors: Kamran A. Ahmed, Casey L. Liveringhouse, Matthew N. Mills, Nicholas B. Figura, ..., Steven A. Eschrich, Jacob G. Scott, Roberto Diaz, Javier F. Torres-Roca
Cooperative adaptation to therapy (CAT) confers resistance in heterogeneous non-small cell lung cancer
Authors: Morgan Craig , Kamran Kaveh, Alec Woosley, Andrew S. Brown, David Goldman, Elliot Eton, Ravindra M. Mehta, Andrew Dhawan, Kazuya Arai, M. Mamunur Rahman, Sidi Chen, Martin A. Nowak, Aaron Goldman
#MathOnco Preprints
EvoFreq: Visualization of the Evolutionary Frequencies of Sequence and Model Data
Authors: Chandler D Gatenbee, Ryan O Schenck, Rafael R Bravo, Alexander R.A. Anderson
Stochastic Models for Revealing the Dynamics of the Growth of Small Tumor Populations
Authors: Kaitlyn E Johnson, Amy Brock
Impact of crowding on the diversity of expanding populations
Authors: Carl F. Schreck, Diana Fusco, Yuya Karita, Stephen Martis, Jona Kayser, Marie-Cécilia Duvernoy, Oskar Hallatschek
A short comment on statistical versus mathematical modelling
Andrea Saltelli: "While the crisis of statistics has made it to the headlines, that of mathematical modelling hasn’t. Something can be learned comparing the two, and looking at other instances of production of numbers. Sociology of quantification and postnormal science can help."
New Turmoil Over Predicting the Effects of Genes
Jordana Cepelewicz: "Promising efforts at disentangling the effects of genes and the environment on complicated traits may have been confounded by statistical problems."
#MathOnco - Book of the month
Partial Differential Equations
Theory and Completely Solved Problems
T. Hillen, I.E. Leonard and H. van Roessel:
"We, as authors, were quite concerned about the high pricing of textbooks. Hence, for the second edition, we offer our book under a self-publishing license. This allows us to attain professional quality, while being able to set affordable prices. This textbook has been class tested for many years and it is a professionally produced textbook for a third-year PDE course. It offers many learning tools that allow students to make progress and master the material. "
Most clicked links of July
Personalized Therapy Design for Liquid Tumors via Optimal Control Theory
Consecutive seeding and transfer of genetic diversity in metastasis
Jobs
Math/statistical models of stem cell lineage dynamics and cancer genomics - Postdoc (Adam MacLean)
Data-driven modeling of breast cancer metastasis - Postdoc (Paul Macklin)
Postdoctoral Research Position in Computational Oncology (Tom Yankeelov)
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